@inproceedings{ahmad-etal-2004-summarization,
 address = {Lisbon, Portugal},
 author = {Ahmad, Saif  and
de Oliveira, Paulo C. F.  and
Ahmad, Khurshid},
 booktitle = {Proceedings of the Fourth International Conference on Language Resources and Evaluation ({LREC}{'}04)},
 publisher = {European Language Resources Association (ELRA)},
 title = {Summarization of Multimodal Information},
 url = {http://www.lrec-conf.org/proceedings/lrec2004/pdf/502.pdf},
 year = {2004}
}

@inproceedings{aksenov-etal-2020-abstractive,
 address = {Marseille, France},
 author = {Aksenov, Dmitrii  and
Moreno-Schneider, Julian  and
Bourgonje, Peter  and
Schwarzenberg, Robert  and
Hennig, Leonhard  and
Rehm, Georg},
 booktitle = {Proceedings of the 12th Language Resources and Evaluation Conference},
 isbn = {979-10-95546-34-4},
 language = {English},
 pages = {6680--6689},
 publisher = {European Language Resources Association},
 title = {Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling},
 url = {https://www.aclweb.org/anthology/2020.lrec-1.825},
 year = {2020}
}

@inproceedings{amplayo-etal-2018-entity,
 address = {New Orleans, Louisiana},
 author = {Amplayo, Reinald Kim  and
Lim, Seonjae  and
Hwang, Seung-won},
 booktitle = {Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)},
 doi = {10.18653/v1/N18-1064},
 pages = {697--707},
 publisher = {Association for Computational Linguistics},
 title = {Entity Commonsense Representation for Neural Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/N18-1064},
 year = {2018}
}

@inproceedings{amplayo-lapata-2020-unsupervised,
 address = {Online},
 author = {Amplayo, Reinald Kim  and
Lapata, Mirella},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.175},
 pages = {1934--1945},
 publisher = {Association for Computational Linguistics},
 title = {Unsupervised Opinion Summarization with Noising and Denoising},
 url = {https://www.aclweb.org/anthology/2020.acl-main.175},
 year = {2020}
}

@inproceedings{antognini-faltings-2019-learning,
 address = {Hong Kong, China},
 author = {Antognini, Diego  and
Faltings, Boi},
 booktitle = {Proceedings of the 2nd Workshop on New Frontiers in Summarization},
 doi = {10.18653/v1/D19-5404},
 pages = {32--41},
 publisher = {Association for Computational Linguistics},
 title = {Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization},
 url = {https://www.aclweb.org/anthology/D19-5404},
 year = {2019}
}

@inproceedings{antognini-faltings-2019-learning,
 address = {Hong Kong, China},
 author = {Antognini, Diego  and
Faltings, Boi},
 booktitle = {Proceedings of the 2nd Workshop on New Frontiers in Summarization},
 doi = {10.18653/v1/D19-5404},
 pages = {32--41},
 publisher = {Association for Computational Linguistics},
 title = {Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization},
 url = {https://www.aclweb.org/anthology/D19-5404},
 year = {2019}
}

@inproceedings{arumae-liu-2018-reinforced,
 address = {Melbourne, Australia},
 author = {Arumae, Kristjan  and
Liu, Fei},
 booktitle = {Proceedings of {ACL} 2018, Student Research Workshop},
 doi = {10.18653/v1/P18-3015},
 pages = {105--111},
 publisher = {Association for Computational Linguistics},
 title = {Reinforced Extractive Summarization with Question-Focused Rewards},
 url = {https://www.aclweb.org/anthology/P18-3015},
 year = {2018}
}

@inproceedings{arumae-liu-2019-guiding,
 address = {Minneapolis, Minnesota},
 author = {Arumae, Kristjan  and
Liu, Fei},
 booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
 doi = {10.18653/v1/N19-1264},
 pages = {2566--2577},
 publisher = {Association for Computational Linguistics},
 title = {Guiding Extractive Summarization with Question-Answering Rewards},
 url = {https://www.aclweb.org/anthology/N19-1264},
 year = {2019}
}

@inproceedings{bar-haim-etal-2020-quantitative,
 address = {Online},
 author = {Bar-Haim, Roy  and
Kantor, Yoav  and
Eden, Lilach  and
Friedman, Roni  and
Lahav, Dan  and
Slonim, Noam},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.3},
 pages = {39--49},
 publisher = {Association for Computational Linguistics},
 title = {Quantitative argument summarization and beyond: Cross-domain key point analysis},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.3},
 year = {2020}
}

@inproceedings{baziotis-etal-2019-seq,
 address = {Minneapolis, Minnesota},
 author = {Baziotis, Christos  and
Androutsopoulos, Ion  and
Konstas, Ioannis  and
Potamianos, Alexandros},
 booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
 doi = {10.18653/v1/N19-1071},
 pages = {673--681},
 publisher = {Association for Computational Linguistics},
 title = {{SEQ}{\^{}}3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression},
 url = {https://www.aclweb.org/anthology/N19-1071},
 year = {2019}
}

@inproceedings{bhandari-etal-2020-evaluating,
 address = {Online},
 author = {Bhandari, Manik  and
Gour, Pranav Narayan  and
Ashfaq, Atabak  and
Liu, Pengfei  and
Neubig, Graham},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.751},
 pages = {9347--9359},
 publisher = {Association for Computational Linguistics},
 title = {Re-evaluating Evaluation in Text Summarization},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.751},
 year = {2020}
}

@inproceedings{bhandari-etal-2020-metrics,
 address = {Barcelona, Spain (Online)},
 author = {Bhandari, Manik  and
Gour, Pranav Narayan  and
Ashfaq, Atabak  and
Liu, Pengfei},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.501},
 pages = {5702--5711},
 publisher = {International Committee on Computational Linguistics},
 title = {Metrics also Disagree in the Low Scoring Range: Revisiting Summarization Evaluation Metrics},
 url = {https://www.aclweb.org/anthology/2020.coling-main.501},
 year = {2020}
}

@inproceedings{bi-etal-2020-palm,
 address = {Online},
 author = {Bi, Bin  and
Li, Chenliang  and
Wu, Chen  and
Yan, Ming  and
Wang, Wei  and
Huang, Songfang  and
Huang, Fei  and
Si, Luo},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.700},
 pages = {8681--8691},
 publisher = {Association for Computational Linguistics},
 title = {{PALM}: Pre-training an Autoencoding{\&}Autoregressive Language Model for Context-conditioned Generation},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.700},
 year = {2020}
}

@inproceedings{bista-etal-2020-supmmd,
 address = {Online},
 author = {Bista, Umanga  and
Mathews, Alexander  and
Menon, Aditya  and
Xie, Lexing},
 booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2020},
 doi = {10.18653/v1/2020.findings-emnlp.367},
 pages = {4108--4122},
 publisher = {Association for Computational Linguistics},
 title = {{S}up{MMD}: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy},
 url = {https://www.aclweb.org/anthology/2020.findings-emnlp.367},
 year = {2020}
}

@inproceedings{bohm-etal-2019-better,
 address = {Hong Kong, China},
 author = {B{\"o}hm, Florian  and
Gao, Yang  and
Meyer, Christian M.  and
Shapira, Ori  and
Dagan, Ido  and
Gurevych, Iryna},
 booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
 doi = {10.18653/v1/D19-1307},
 pages = {3110--3120},
 publisher = {Association for Computational Linguistics},
 title = {Better Rewards Yield Better Summaries: Learning to Summarise Without References},
 url = {https://www.aclweb.org/anthology/D19-1307},
 year = {2019}
}

@inproceedings{bommasani-cardie-2020-intrinsic,
 address = {Online},
 author = {Bommasani, Rishi  and
Cardie, Claire},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.649},
 pages = {8075--8096},
 publisher = {Association for Computational Linguistics},
 title = {Intrinsic Evaluation of Summarization Datasets},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.649},
 year = {2020}
}

@inproceedings{brazinskas-etal-2020-shot,
 address = {Online},
 author = {Bra{\v{z}}inskas, Arthur  and
Lapata, Mirella  and
Titov, Ivan},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.337},
 pages = {4119--4135},
 publisher = {Association for Computational Linguistics},
 title = {Few-Shot Learning for Opinion Summarization},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.337},
 year = {2020}
}

@inproceedings{brazinskas-etal-2020-unsupervised,
 address = {Online},
 author = {Bra{\v{z}}inskas, Arthur  and
Lapata, Mirella  and
Titov, Ivan},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.461},
 pages = {5151--5169},
 publisher = {Association for Computational Linguistics},
 title = {Unsupervised Opinion Summarization as Copycat-Review Generation},
 url = {https://www.aclweb.org/anthology/2020.acl-main.461},
 year = {2020}
}

@inproceedings{cachola-etal-2020-tldr,
 address = {Online},
 author = {Cachola, Isabel  and
Lo, Kyle  and
Cohan, Arman  and
Weld, Daniel},
 booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2020},
 doi = {10.18653/v1/2020.findings-emnlp.428},
 pages = {4766--4777},
 publisher = {Association for Computational Linguistics},
 title = {{TLDR}: Extreme Summarization of Scientific Documents},
 url = {https://www.aclweb.org/anthology/2020.findings-emnlp.428},
 year = {2020}
}

@inproceedings{cao-etal-2018-retrieve,
 address = {Melbourne, Australia},
 author = {Cao, Ziqiang  and
Li, Wenjie  and
Li, Sujian  and
Wei, Furu},
 booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
 doi = {10.18653/v1/P18-1015},
 pages = {152--161},
 publisher = {Association for Computational Linguistics},
 title = {Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization},
 url = {https://www.aclweb.org/anthology/P18-1015},
 year = {2018}
}

@inproceedings{cao-etal-2020-factual,
 address = {Online},
 author = {Cao, Meng  and
Dong, Yue  and
Wu, Jiapeng  and
Cheung, Jackie Chi Kit},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.506},
 pages = {6251--6258},
 publisher = {Association for Computational Linguistics},
 title = {Factual Error Correction for Abstractive Summarization Models},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.506},
 year = {2020}
}

@inproceedings{cao-etal-2020-factual,
 address = {Online},
 author = {Cao, Meng  and
Dong, Yue  and
Wu, Jiapeng  and
Cheung, Jackie Chi Kit},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.506},
 pages = {6251--6258},
 publisher = {Association for Computational Linguistics},
 title = {Factual Error Correction for Abstractive Summarization Models},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.506},
 year = {2020}
}

@inproceedings{cao-etal-2020-jointly,
 address = {Online},
 author = {Cao, Yue  and
Liu, Hui  and
Wan, Xiaojun},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.554},
 pages = {6220--6231},
 publisher = {Association for Computational Linguistics},
 title = {Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization},
 url = {https://www.aclweb.org/anthology/2020.acl-main.554},
 year = {2020}
}

@inproceedings{celikyilmaz-etal-2018-deep,
 address = {New Orleans, Louisiana},
 author = {Celikyilmaz, Asli  and
Bosselut, Antoine  and
He, Xiaodong  and
Choi, Yejin},
 booktitle = {Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)},
 doi = {10.18653/v1/N18-1150},
 pages = {1662--1675},
 publisher = {Association for Computational Linguistics},
 title = {Deep Communicating Agents for Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/N18-1150},
 year = {2018}
}

@inproceedings{chen-bansal-2018-fast,
 address = {Melbourne, Australia},
 author = {Chen, Yen-Chun  and
Bansal, Mohit},
 booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
 doi = {10.18653/v1/P18-1063},
 pages = {675--686},
 publisher = {Association for Computational Linguistics},
 title = {Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting},
 url = {https://www.aclweb.org/anthology/P18-1063},
 year = {2018}
}

@inproceedings{chen-etal-2020-cdevalsumm,
 address = {Online},
 author = {Chen, Yiran  and
Liu, Pengfei  and
Zhong, Ming  and
Dou, Zi-Yi  and
Wang, Danqing  and
Qiu, Xipeng  and
Huang, Xuanjing},
 booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2020},
 doi = {10.18653/v1/2020.findings-emnlp.329},
 pages = {3679--3691},
 publisher = {Association for Computational Linguistics},
 title = {{CDE}val{S}umm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems},
 url = {https://www.aclweb.org/anthology/2020.findings-emnlp.329},
 year = {2020}
}

@inproceedings{chen-yang-2020-multi,
 address = {Online},
 author = {Chen, Jiaao  and
Yang, Diyi},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.336},
 pages = {4106--4118},
 publisher = {Association for Computational Linguistics},
 title = {Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.336},
 year = {2020}
}

@inproceedings{chen-zhuge-2018-abstractive,
 address = {Brussels, Belgium},
 author = {Chen, Jingqiang  and
Zhuge, Hai},
 booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
 doi = {10.18653/v1/D18-1438},
 pages = {4046--4056},
 publisher = {Association for Computational Linguistics},
 title = {Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical {RNN}},
 url = {https://www.aclweb.org/anthology/D18-1438},
 year = {2018}
}

@inproceedings{cho-etal-2019-improving,
 address = {Florence, Italy},
 author = {Cho, Sangwoo  and
Lebanoff, Logan  and
Foroosh, Hassan  and
Liu, Fei},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1098},
 pages = {1027--1038},
 publisher = {Association for Computational Linguistics},
 title = {Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization},
 url = {https://www.aclweb.org/anthology/P19-1098},
 year = {2019}
}

@inproceedings{cho-etal-2020-better,
 address = {Online},
 author = {Cho, Sangwoo  and
Song, Kaiqiang  and
Li, Chen  and
Yu, Dong  and
Foroosh, Hassan  and
Liu, Fei},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.509},
 pages = {6282--6300},
 publisher = {Association for Computational Linguistics},
 title = {Better Highlighting: Creating Sub-Sentence Summary Highlights},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.509},
 year = {2020}
}

@inproceedings{cohan-etal-2018-discourse,
 address = {New Orleans, Louisiana},
 author = {Cohan, Arman  and
Dernoncourt, Franck  and
Kim, Doo Soon  and
Bui, Trung  and
Kim, Seokhwan  and
Chang, Walter  and
Goharian, Nazli},
 booktitle = {Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)},
 doi = {10.18653/v1/N18-2097},
 pages = {615--621},
 publisher = {Association for Computational Linguistics},
 title = {A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents},
 url = {https://www.aclweb.org/anthology/N18-2097},
 year = {2018}
}

@inproceedings{cohan-etal-2018-discourse,
 address = {New Orleans, Louisiana},
 author = {Cohan, Arman  and
Dernoncourt, Franck  and
Kim, Doo Soon  and
Bui, Trung  and
Kim, Seokhwan  and
Chang, Walter  and
Goharian, Nazli},
 booktitle = {Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)},
 doi = {10.18653/v1/N18-2097},
 pages = {615--621},
 publisher = {Association for Computational Linguistics},
 title = {A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents},
 url = {https://www.aclweb.org/anthology/N18-2097},
 year = {2018}
}

@inproceedings{cui-etal-2020-enhancing,
 address = {Barcelona, Spain (Online)},
 author = {Cui, Peng  and
Hu, Le  and
Liu, Yuanchao},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.468},
 pages = {5360--5371},
 publisher = {International Committee on Computational Linguistics},
 title = {Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks},
 url = {https://www.aclweb.org/anthology/2020.coling-main.468},
 year = {2020}
}

@inproceedings{cui-etal-2020-enhancing,
 address = {Barcelona, Spain (Online)},
 author = {Cui, Peng  and
Hu, Le  and
Liu, Yuanchao},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.468},
 pages = {5360--5371},
 publisher = {International Committee on Computational Linguistics},
 title = {Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks},
 url = {https://www.aclweb.org/anthology/2020.coling-main.468},
 year = {2020}
}

@inproceedings{DBLP:conf/aaai/00010W018,
 author = {Ping Chen and
Fei Wu and
Tong Wang and
Wei Ding},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/aaai/00010W018.bib},
 booktitle = {Proceedings of the Thirty-Second {AAAI} Conference on Artificial Intelligence,
(AAAI-18), the 30th innovative Applications of Artificial Intelligence
(IAAI-18), and the 8th {AAAI} Symposium on Educational Advances in
Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February
2-7, 2018},
 editor = {Sheila A. McIlraith and
Kilian Q. Weinberger},
 pages = {4800--4807},
 publisher = {{AAAI} Press},
 timestamp = {Tue, 23 Oct 2018 06:42:15 +0200},
 title = {A Semantic QA-Based Approach for Text Summarization Evaluation},
 url = {https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16115},
 year = {2018}
}

@inproceedings{DBLP:conf/aaai/Cao0YY20,
 author = {Yue Cao and
Xiaojun Wan and
Jin{-}ge Yao and
Dian Yu},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/aaai/Cao0YY20.bib},
 booktitle = {The Thirty-Fourth {AAAI} Conference on Artificial Intelligence, {AAAI}
2020, The Thirty-Second Innovative Applications of Artificial Intelligence
Conference, {IAAI} 2020, The Tenth {AAAI} Symposium on Educational
Advances in Artificial Intelligence, {EAAI} 2020, New York, NY, USA,
February 7-12, 2020},
 pages = {11--18},
 publisher = {{AAAI} Press},
 timestamp = {Wed, 26 Aug 2020 01:00:00 +0200},
 title = {MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization},
 url = {https://aaai.org/ojs/index.php/AAAI/article/view/5328},
 year = {2020}
}

@inproceedings{DBLP:conf/aaai/CaoLLW17,
 author = {Ziqiang Cao and
Wenjie Li and
Sujian Li and
Furu Wei},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/aaai/CaoLLW17.bib},
 booktitle = {Proceedings of the Thirty-First {AAAI} Conference on Artificial Intelligence,
February 4-9, 2017, San Francisco, California, {USA}},
 editor = {Satinder P. Singh and
Shaul Markovitch},
 pages = {3053--3059},
 publisher = {{AAAI} Press},
 timestamp = {Fri, 29 Nov 2019 00:00:00 +0100},
 title = {Improving Multi-Document Summarization via Text Classification},
 url = {http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14525},
 year = {2017}
}

@inproceedings{DBLP:conf/aaai/CaoWLL18,
 author = {Ziqiang Cao and
Furu Wei and
Wenjie Li and
Sujian Li},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/aaai/CaoWLL18.bib},
 booktitle = {Proceedings of the Thirty-Second {AAAI} Conference on Artificial Intelligence,
(AAAI-18), the 30th innovative Applications of Artificial Intelligence
(IAAI-18), and the 8th {AAAI} Symposium on Educational Advances in
Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February
2-7, 2018},
 editor = {Sheila A. McIlraith and
Kilian Q. Weinberger},
 pages = {4784--4791},
 publisher = {{AAAI} Press},
 timestamp = {Fri, 29 Nov 2019 00:00:00 +0100},
 title = {Faithful to the Original: Fact Aware Neural Abstractive Summarization},
 url = {https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16121},
 year = {2018}
}

@inproceedings{DBLP:conf/aaai/FuWZWY20,
 author = {Xiyan Fu and
Jun Wang and
Jinghan Zhang and
Jinmao Wei and
Zhenglu Yang},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/aaai/FuWZWY20.bib},
 booktitle = {The Thirty-Fourth {AAAI} Conference on Artificial Intelligence, {AAAI}
2020, The Thirty-Second Innovative Applications of Artificial Intelligence
Conference, {IAAI} 2020, The Tenth {AAAI} Symposium on Educational
Advances in Artificial Intelligence, {EAAI} 2020, New York, NY, USA,
February 7-12, 2020},
 pages = {7740--7747},
 publisher = {{AAAI} Press},
 timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
 title = {Document Summarization with {VHTM:} Variational Hierarchical Topic-Aware
Mechanism},
 url = {https://aaai.org/ojs/index.php/AAAI/article/view/6277},
 year = {2020}
}

@inproceedings{DBLP:conf/aaai/JinW020,
 author = {Hanqi Jin and
Tianming Wang and
Xiaojun Wan},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/aaai/JinW020.bib},
 booktitle = {The Thirty-Fourth {AAAI} Conference on Artificial Intelligence, {AAAI}
2020, The Thirty-Second Innovative Applications of Artificial Intelligence
Conference, {IAAI} 2020, The Tenth {AAAI} Symposium on Educational
Advances in Artificial Intelligence, {EAAI} 2020, New York, NY, USA,
February 7-12, 2020},
 pages = {8026--8033},
 publisher = {{AAAI} Press},
 timestamp = {Thu, 04 Jun 2020 01:00:00 +0200},
 title = {SemSUM: Semantic Dependency Guided Neural Abstractive Summarization},
 url = {https://aaai.org/ojs/index.php/AAAI/article/view/6312},
 year = {2020}
}

@inproceedings{DBLP:conf/aaai/LiuLYQZL18,
 author = {Linqing Liu and
Yao Lu and
Min Yang and
Qiang Qu and
Jia Zhu and
Hongyan Li},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/aaai/LiuLYQZL18.bib},
 booktitle = {Proceedings of the Thirty-Second {AAAI} Conference on Artificial Intelligence,
(AAAI-18), the 30th innovative Applications of Artificial Intelligence
(IAAI-18), and the 8th {AAAI} Symposium on Educational Advances in
Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February
2-7, 2018},
 editor = {Sheila A. McIlraith and
Kilian Q. Weinberger},
 pages = {8109--8110},
 publisher = {{AAAI} Press},
 timestamp = {Fri, 14 Aug 2020 01:00:00 +0200},
 title = {Generative Adversarial Network for Abstractive Text Summarization},
 url = {https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16238},
 year = {2018}
}

@inproceedings{DBLP:conf/aaai/LiYXWHZ20,
 author = {Haoran Li and
Peng Yuan and
Song Xu and
Youzheng Wu and
Xiaodong He and
Bowen Zhou},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/aaai/LiYXWHZ20.bib},
 booktitle = {The Thirty-Fourth {AAAI} Conference on Artificial Intelligence, {AAAI}
2020, The Thirty-Second Innovative Applications of Artificial Intelligence
Conference, {IAAI} 2020, The Tenth {AAAI} Symposium on Educational
Advances in Artificial Intelligence, {EAAI} 2020, New York, NY, USA,
February 7-12, 2020},
 pages = {8188--8195},
 publisher = {{AAAI} Press},
 timestamp = {Mon, 28 Sep 2020 01:00:00 +0200},
 title = {Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products},
 url = {https://aaai.org/ojs/index.php/AAAI/article/view/6332},
 year = {2020}
}

@inproceedings{DBLP:conf/aaai/LiZZZH20,
 author = {Haoran Li and
Junnan Zhu and
Jiajun Zhang and
Chengqing Zong and
Xiaodong He},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/aaai/LiZZZH20.bib},
 booktitle = {The Thirty-Fourth {AAAI} Conference on Artificial Intelligence, {AAAI}
2020, The Thirty-Second Innovative Applications of Artificial Intelligence
Conference, {IAAI} 2020, The Tenth {AAAI} Symposium on Educational
Advances in Artificial Intelligence, {EAAI} 2020, New York, NY, USA,
February 7-12, 2020},
 pages = {8196--8203},
 publisher = {{AAAI} Press},
 timestamp = {Wed, 02 Sep 2020 01:00:00 +0200},
 title = {Keywords-Guided Abstractive Sentence Summarization},
 url = {https://aaai.org/ojs/index.php/AAAI/article/view/6333},
 year = {2020}
}

@inproceedings{DBLP:conf/aaai/NallapatiZZ17,
 author = {Ramesh Nallapati and
Feifei Zhai and
Bowen Zhou},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/aaai/NallapatiZZ17.bib},
 booktitle = {Proceedings of the Thirty-First {AAAI} Conference on Artificial Intelligence,
February 4-9, 2017, San Francisco, California, {USA}},
 editor = {Satinder P. Singh and
Shaul Markovitch},
 pages = {3075--3081},
 publisher = {{AAAI} Press},
 timestamp = {Mon, 06 Mar 2017 00:00:00 +0100},
 title = {SummaRuNNer: {A} Recurrent Neural Network Based Sequence Model for
Extractive Summarization of Documents},
 url = {http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14636},
 year = {2017}
}

@inproceedings{DBLP:conf/aaai/ShiLHL0Z19,
 author = {Jiaxin Shi and
Chen Liang and
Lei Hou and
Juanzi Li and
Zhiyuan Liu and
Hanwang Zhang},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/aaai/ShiLHL0Z19.bib},
 booktitle = {The Thirty-Third {AAAI} Conference on Artificial Intelligence, {AAAI}
2019, The Thirty-First Innovative Applications of Artificial Intelligence
Conference, {IAAI} 2019, The Ninth {AAAI} Symposium on Educational
Advances in Artificial Intelligence, {EAAI} 2019, Honolulu, Hawaii,
USA, January 27 - February 1, 2019},
 doi = {10.1609/aaai.v33i01.33016999},
 pages = {6999--7006},
 publisher = {{AAAI} Press},
 timestamp = {Thu, 07 May 2020 01:00:00 +0200},
 title = {DeepChannel: Salience Estimation by Contrastive Learning for Extractive
Document Summarization},
 url = {https://doi.org/10.1609/aaai.v33i01.33016999},
 year = {2019}
}

@inproceedings{DBLP:conf/iclr/FernandesAB19,
 author = {Patrick Fernandes and
Miltiadis Allamanis and
Marc Brockschmidt},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/iclr/FernandesAB19.bib},
 booktitle = {7th International Conference on Learning Representations, {ICLR} 2019,
New Orleans, LA, USA, May 6-9, 2019},
 publisher = {OpenReview.net},
 timestamp = {Thu, 25 Jul 2019 01:00:00 +0200},
 title = {Structured Neural Summarization},
 url = {https://openreview.net/forum?id=H1ersoRqtm},
 year = {2019}
}

@inproceedings{DBLP:conf/iclr/PaulusXS18,
 author = {Romain Paulus and
Caiming Xiong and
Richard Socher},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/iclr/PaulusXS18.bib},
 booktitle = {6th International Conference on Learning Representations, {ICLR} 2018,
Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings},
 publisher = {OpenReview.net},
 timestamp = {Thu, 25 Jul 2019 01:00:00 +0200},
 title = {A Deep Reinforced Model for Abstractive Summarization},
 url = {https://openreview.net/forum?id=HkAClQgA-},
 year = {2018}
}

@inproceedings{DBLP:conf/icml/ChuL19,
 author = {Eric Chu and
Peter J. Liu},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/icml/ChuL19.bib},
 booktitle = {Proceedings of the 36th International Conference on Machine Learning,
{ICML} 2019, 9-15 June 2019, Long Beach, California, {USA}},
 editor = {Kamalika Chaudhuri and
Ruslan Salakhutdinov},
 pages = {1223--1232},
 publisher = {{PMLR}},
 series = {Proceedings of Machine Learning Research},
 timestamp = {Tue, 11 Jun 2019 01:00:00 +0200},
 title = {MeanSum: {A} Neural Model for Unsupervised Multi-Document Abstractive
Summarization},
 url = {http://proceedings.mlr.press/v97/chu19b.html},
 volume = {97},
 year = {2019}
}

@inproceedings{DBLP:conf/icml/ChuL19,
 author = {Eric Chu and
Peter J. Liu},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/icml/ChuL19.bib},
 booktitle = {Proceedings of the 36th International Conference on Machine Learning,
{ICML} 2019, 9-15 June 2019, Long Beach, California, {USA}},
 editor = {Kamalika Chaudhuri and
Ruslan Salakhutdinov},
 pages = {1223--1232},
 publisher = {{PMLR}},
 series = {Proceedings of Machine Learning Research},
 timestamp = {Tue, 11 Jun 2019 01:00:00 +0200},
 title = {MeanSum: {A} Neural Model for Unsupervised Multi-Document Abstractive
Summarization},
 url = {http://proceedings.mlr.press/v97/chu19b.html},
 volume = {97},
 year = {2019}
}

@inproceedings{DBLP:conf/icml/ChuL19,
 author = {Eric Chu and
Peter J. Liu},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/icml/ChuL19.bib},
 booktitle = {Proceedings of the 36th International Conference on Machine Learning,
{ICML} 2019, 9-15 June 2019, Long Beach, California, {USA}},
 editor = {Kamalika Chaudhuri and
Ruslan Salakhutdinov},
 pages = {1223--1232},
 publisher = {{PMLR}},
 series = {Proceedings of Machine Learning Research},
 timestamp = {Tue, 11 Jun 2019 01:00:00 +0200},
 title = {MeanSum: {A} Neural Model for Unsupervised Multi-Document Abstractive
Summarization},
 url = {http://proceedings.mlr.press/v97/chu19b.html},
 volume = {97},
 year = {2019}
}

@inproceedings{DBLP:conf/icml/ScialomDLPS20,
 author = {Thomas Scialom and
Paul{-}Alexis Dray and
Sylvain Lamprier and
Benjamin Piwowarski and
Jacopo Staiano},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/icml/ScialomDLPS20.bib},
 booktitle = {Proceedings of the 37th International Conference on Machine Learning,
{ICML} 2020, 13-18 July 2020, Virtual Event},
 pages = {8555--8564},
 publisher = {{PMLR}},
 series = {Proceedings of Machine Learning Research},
 timestamp = {Tue, 15 Dec 2020 00:00:00 +0100},
 title = {Discriminative Adversarial Search for Abstractive Summarization},
 url = {http://proceedings.mlr.press/v119/scialom20a.html},
 volume = {119},
 year = {2020}
}

@inproceedings{DBLP:conf/icml/SongTQLL19,
 author = {Kaitao Song and
Xu Tan and
Tao Qin and
Jianfeng Lu and
Tie{-}Yan Liu},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/icml/SongTQLL19.bib},
 booktitle = {Proceedings of the 36th International Conference on Machine Learning,
{ICML} 2019, 9-15 June 2019, Long Beach, California, {USA}},
 editor = {Kamalika Chaudhuri and
Ruslan Salakhutdinov},
 pages = {5926--5936},
 publisher = {{PMLR}},
 series = {Proceedings of Machine Learning Research},
 timestamp = {Fri, 04 Dec 2020 00:00:00 +0100},
 title = {{MASS:} Masked Sequence to Sequence Pre-training for Language Generation},
 url = {http://proceedings.mlr.press/v97/song19d.html},
 volume = {97},
 year = {2019}
}

@inproceedings{DBLP:conf/ijcai/ChenCGY0Y19,
 author = {Xiuying Chen and
Zhangming Chan and
Shen Gao and
Meng{-}Hsuan Yu and
Dongyan Zhao and
Rui Yan},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/ijcai/ChenCGY0Y19.bib},
 booktitle = {Proceedings of the Twenty-Eighth International Joint Conference on
Artificial Intelligence, {IJCAI} 2019, Macao, China, August 10-16,
2019},
 doi = {10.24963/ijcai.2019/686},
 editor = {Sarit Kraus},
 pages = {4939--4945},
 publisher = {ijcai.org},
 timestamp = {Sat, 31 Aug 2019 01:00:00 +0200},
 title = {Learning towards Abstractive Timeline Summarization},
 url = {https://doi.org/10.24963/ijcai.2019/686},
 year = {2019}
}

@inproceedings{DBLP:conf/ijcai/ChowdhuryK020,
 author = {Tanya Chowdhury and
Sachin Kumar and
Tanmoy Chakraborty},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/ijcai/ChowdhuryK020.bib},
 booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
Artificial Intelligence, {IJCAI} 2020},
 doi = {10.24963/ijcai.2020/514},
 editor = {Christian Bessiere},
 pages = {3716--3722},
 publisher = {ijcai.org},
 timestamp = {Fri, 04 Sep 2020 01:00:00 +0200},
 title = {Neural Abstractive Summarization with Structural Attention},
 url = {https://doi.org/10.24963/ijcai.2020/514},
 year = {2020}
}

@inproceedings{DBLP:conf/ijcai/GaoCR0020,
 author = {Shen Gao and
Xiuying Chen and
Zhaochun Ren and
Dongyan Zhao and
Rui Yan},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/ijcai/GaoCR0020.bib},
 booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
Artificial Intelligence, {IJCAI} 2020},
 doi = {10.24963/ijcai.2020/676},
 editor = {Christian Bessiere},
 pages = {4854--4860},
 publisher = {ijcai.org},
 timestamp = {Wed, 15 Jul 2020 01:00:00 +0200},
 title = {From Standard Summarization to New Tasks and Beyond: Summarization
with Manifold Information},
 url = {https://doi.org/10.24963/ijcai.2020/676},
 year = {2020}
}

@inproceedings{DBLP:conf/ijcai/Huang20,
 author = {Hen{-}Hsen Huang},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/ijcai/Huang20.bib},
 booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
Artificial Intelligence, {IJCAI} 2020},
 doi = {10.24963/ijcai.2020/761},
 editor = {Christian Bessiere},
 pages = {5255--5257},
 publisher = {ijcai.org},
 timestamp = {Wed, 15 Jul 2020 01:00:00 +0200},
 title = {AutoSurvey: Automatic Survey Generation based on a Research Draft},
 url = {https://doi.org/10.24963/ijcai.2020/761},
 year = {2020}
}

@inproceedings{DBLP:conf/ijcai/LiZ20,
 author = {Quanzhi Li and
Qiong Zhang},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/ijcai/LiZ20.bib},
 booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
Artificial Intelligence, {IJCAI} 2020},
 doi = {10.24963/ijcai.2020/644},
 editor = {Christian Bessiere},
 pages = {4668--4674},
 publisher = {ijcai.org},
 timestamp = {Wed, 15 Jul 2020 01:00:00 +0200},
 title = {A Unified Model for Financial Event Classification, Detection and
Summarization},
 url = {https://doi.org/10.24963/ijcai.2020/644},
 year = {2020}
}

@inproceedings{DBLP:conf/ijcai/LiZLZZ18,
 author = {Haoran Li and
Junnan Zhu and
Tianshang Liu and
Jiajun Zhang and
Chengqing Zong},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/ijcai/LiZLZZ18.bib},
 booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on
Artificial Intelligence, {IJCAI} 2018, July 13-19, 2018, Stockholm,
Sweden},
 doi = {10.24963/ijcai.2018/577},
 editor = {J{\'{e}}r{\^{o}}me Lang},
 pages = {4152--4158},
 publisher = {ijcai.org},
 timestamp = {Wed, 02 Sep 2020 01:00:00 +0200},
 title = {Multi-modal Sentence Summarization with Modality Attention and Image
Filtering},
 url = {https://doi.org/10.24963/ijcai.2018/577},
 year = {2018}
}

@inproceedings{DBLP:conf/ijcai/MaSLR18,
 author = {Shuming Ma and
Xu Sun and
Junyang Lin and
Xuancheng Ren},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/ijcai/MaSLR18.bib},
 booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on
Artificial Intelligence, {IJCAI} 2018, July 13-19, 2018, Stockholm,
Sweden},
 doi = {10.24963/ijcai.2018/591},
 editor = {J{\'{e}}r{\^{o}}me Lang},
 pages = {4251--4257},
 publisher = {ijcai.org},
 timestamp = {Tue, 20 Aug 2019 01:00:00 +0200},
 title = {A Hierarchical End-to-End Model for Jointly Improving Text Summarization
and Sentiment Classification},
 url = {https://doi.org/10.24963/ijcai.2018/591},
 year = {2018}
}

@inproceedings{DBLP:conf/kdd/GoodrichRLS19,
 author = {Ben Goodrich and
Vinay Rao and
Peter J. Liu and
Mohammad Saleh},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/kdd/GoodrichRLS19.bib},
 booktitle = {Proceedings of the 25th {ACM} {SIGKDD} International Conference on
Knowledge Discovery {\&} Data Mining, {KDD} 2019, Anchorage, AK, USA,
August 4-8, 2019},
 doi = {10.1145/3292500.3330955},
 editor = {Ankur Teredesai and
Vipin Kumar and
Ying Li and
R{\'{o}}mer Rosales and
Evimaria Terzi and
George Karypis},
 pages = {166--175},
 publisher = {{ACM}},
 timestamp = {Sun, 28 Jul 2019 01:00:00 +0200},
 title = {Assessing The Factual Accuracy of Generated Text},
 url = {https://doi.org/10.1145/3292500.3330955},
 year = {2019}
}

@inproceedings{DBLP:conf/kdd/LiuWXLY19,
 author = {Chunyi Liu and
Peng Wang and
Jiang Xu and
Zang Li and
Jieping Ye},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/kdd/LiuWXLY19.bib},
 booktitle = {Proceedings of the 25th {ACM} {SIGKDD} International Conference on
Knowledge Discovery {\&} Data Mining, {KDD} 2019, Anchorage, AK, USA,
August 4-8, 2019},
 doi = {10.1145/3292500.3330683},
 editor = {Ankur Teredesai and
Vipin Kumar and
Ying Li and
R{\'{o}}mer Rosales and
Evimaria Terzi and
George Karypis},
 pages = {1957--1965},
 publisher = {{ACM}},
 timestamp = {Sun, 28 Jul 2019 01:00:00 +0200},
 title = {Automatic Dialogue Summary Generation for Customer Service},
 url = {https://doi.org/10.1145/3292500.3330683},
 year = {2019}
}

@inproceedings{DBLP:conf/nips/00040WWLWGZH19,
 author = {Li Dong and
Nan Yang and
Wenhui Wang and
Furu Wei and
Xiaodong Liu and
Yu Wang and
Jianfeng Gao and
Ming Zhou and
Hsiao{-}Wuen Hon},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/nips/00040WWLWGZH19.bib},
 booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference
on Neural Information Processing Systems 2019, NeurIPS 2019, December
8-14, 2019, Vancouver, BC, Canada},
 editor = {Hanna M. Wallach and
Hugo Larochelle and
Alina Beygelzimer and
Florence d'Alch{\'{e}}{-}Buc and
Emily B. Fox and
Roman Garnett},
 pages = {13042--13054},
 timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
 title = {Unified Language Model Pre-training for Natural Language Understanding
and Generation},
 url = {https://proceedings.neurips.cc/paper/2019/hash/c20bb2d9a50d5ac1f713f8b34d9aac5a-Abstract.html},
 year = {2019}
}

@inproceedings{DBLP:conf/sigir/ChanCK20,
 author = {Hou Pong Chan and
Wang Chen and
Irwin King},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/sigir/ChanCK20.bib},
 booktitle = {Proceedings of the 43rd International {ACM} {SIGIR} conference on
research and development in Information Retrieval, {SIGIR} 2020, Virtual
Event, China, July 25-30, 2020},
 doi = {10.1145/3397271.3401039},
 editor = {Jimmy Huang and
Yi Chang and
Xueqi Cheng and
Jaap Kamps and
Vanessa Murdock and
Ji{-}Rong Wen and
Yiqun Liu},
 pages = {1191--1200},
 publisher = {{ACM}},
 timestamp = {Mon, 27 Jul 2020 01:00:00 +0200},
 title = {A Unified Dual-view Model for Review Summarization and Sentiment Classification
with Inconsistency Loss},
 url = {https://doi.org/10.1145/3397271.3401039},
 year = {2020}
}

@inproceedings{DBLP:conf/wsdm/TepperHBRL18,
 author = {Naama Tepper and
Anat Hashavit and
Maya Barnea and
Inbal Ronen and
Lior Leiba},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/wsdm/TepperHBRL18.bib},
 booktitle = {Proceedings of the Eleventh {ACM} International Conference on Web
Search and Data Mining, {WSDM} 2018, Marina Del Rey, CA, USA, February
5-9, 2018},
 doi = {10.1145/3159652.3160588},
 editor = {Yi Chang and
Chengxiang Zhai and
Yan Liu and
Yoelle Maarek},
 pages = {771--774},
 publisher = {{ACM}},
 timestamp = {Tue, 06 Nov 2018 00:00:00 +0100},
 title = {Collabot: Personalized Group Chat Summarization},
 url = {https://doi.org/10.1145/3159652.3160588},
 year = {2018}
}

@inproceedings{DBLP:conf/www/GuM0L00FYZZ20,
 author = {Xiaotao Gu and
Yuning Mao and
Jiawei Han and
Jialu Liu and
You Wu and
Cong Yu and
Daniel Finnie and
Hongkun Yu and
Jiaqi Zhai and
Nicholas Zukoski},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/www/GuM0L00FYZZ20.bib},
 booktitle = {{WWW} '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020},
 doi = {10.1145/3366423.3380247},
 editor = {Yennun Huang and
Irwin King and
Tie{-}Yan Liu and
Maarten van Steen},
 pages = {1773--1784},
 publisher = {{ACM} / {IW3C2}},
 timestamp = {Wed, 06 May 2020 01:00:00 +0200},
 title = {Generating Representative Headlines for News Stories},
 url = {https://doi.org/10.1145/3366423.3380247},
 year = {2020}
}

@inproceedings{DBLP:conf/www/ZhaoPFLLY19,
 author = {Zhou Zhao and
Haojie Pan and
Changjie Fan and
Yan Liu and
Linlin Li and
Min Yang},
 bibsource = {dblp computer science bibliography, https://dblp.org},
 biburl = {https://dblp.org/rec/conf/www/ZhaoPFLLY19.bib},
 booktitle = {The World Wide Web Conference, {WWW} 2019, San Francisco, CA, USA,
May 13-17, 2019},
 doi = {10.1145/3308558.3313619},
 editor = {Ling Liu and
Ryen W. White and
Amin Mantrach and
Fabrizio Silvestri and
Julian J. McAuley and
Ricardo Baeza{-}Yates and
Leila Zia},
 pages = {3455--3461},
 publisher = {{ACM}},
 timestamp = {Fri, 30 Aug 2019 01:00:00 +0200},
 title = {Abstractive Meeting Summarization via Hierarchical Adaptive Segmental
Network Learning},
 url = {https://doi.org/10.1145/3308558.3313619},
 year = {2019}
}

@inproceedings{deng-etal-2020-multi,
 address = {Online},
 author = {Deng, Yang  and
Zhang, Wenxuan  and
Lam, Wai},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.547},
 pages = {6734--6744},
 publisher = {Association for Computational Linguistics},
 title = {Multi-hop Inference for Question-driven Summarization},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.547},
 year = {2020}
}

@inproceedings{desai-etal-2020-compressive,
 address = {Online},
 author = {Desai, Shrey  and
Xu, Jiacheng  and
Durrett, Greg},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.507},
 pages = {6259--6274},
 publisher = {Association for Computational Linguistics},
 title = {Compressive Summarization with Plausibility and Salience Modeling},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.507},
 year = {2020}
}

@inproceedings{deutsch-roth-2020-sacrerouge,
 address = {Online},
 author = {Deutsch, Daniel  and
Roth, Dan},
 booktitle = {Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)},
 doi = {10.18653/v1/2020.nlposs-1.17},
 pages = {120--125},
 publisher = {Association for Computational Linguistics},
 title = {{S}acre{ROUGE}: An Open-Source Library for Using and Developing Summarization Evaluation Metrics},
 url = {https://www.aclweb.org/anthology/2020.nlposs-1.17},
 year = {2020}
}

@inproceedings{dey-etal-2020-corpora,
 address = {Online},
 author = {Dey, Alvin  and
Chowdhury, Tanya  and
Kumar, Yash  and
Chakraborty, Tanmoy},
 booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2020},
 doi = {10.18653/v1/2020.findings-emnlp.254},
 pages = {2830--2840},
 publisher = {Association for Computational Linguistics},
 title = {Corpora Evaluation and System Bias Detection in Multi-document Summarization},
 url = {https://www.aclweb.org/anthology/2020.findings-emnlp.254},
 year = {2020}
}

@inproceedings{dong-etal-2020-multi-fact,
 address = {Online},
 author = {Dong, Yue  and
Wang, Shuohang  and
Gan, Zhe  and
Cheng, Yu  and
Cheung, Jackie Chi Kit  and
Liu, Jingjing},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.749},
 pages = {9320--9331},
 publisher = {Association for Computational Linguistics},
 title = {Multi-Fact Correction in Abstractive Text Summarization},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.749},
 year = {2020}
}

@inproceedings{dou-etal-2020-deep,
 address = {Online},
 author = {Dou, Zi-Yi  and
Kumar, Sachin  and
Tsvetkov, Yulia},
 booktitle = {Proceedings of the Fourth Workshop on Neural Generation and Translation},
 doi = {10.18653/v1/2020.ngt-1.7},
 pages = {60--68},
 publisher = {Association for Computational Linguistics},
 title = {A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards},
 url = {https://www.aclweb.org/anthology/2020.ngt-1.7},
 year = {2020}
}

@inproceedings{duan-etal-2019-contrastive,
 address = {Hong Kong, China},
 author = {Duan, Xiangyu  and
Yu, Hongfei  and
Yin, Mingming  and
Zhang, Min  and
Luo, Weihua  and
Zhang, Yue},
 booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
 doi = {10.18653/v1/D19-1301},
 pages = {3044--3053},
 publisher = {Association for Computational Linguistics},
 title = {Contrastive Attention Mechanism for Abstractive Sentence Summarization},
 url = {https://www.aclweb.org/anthology/D19-1301},
 year = {2019}
}

@inproceedings{duan-etal-2019-zero,
 address = {Florence, Italy},
 author = {Duan, Xiangyu  and
Yin, Mingming  and
Zhang, Min  and
Chen, Boxing  and
Luo, Weihua},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1305},
 pages = {3162--3172},
 publisher = {Association for Computational Linguistics},
 title = {Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention},
 url = {https://www.aclweb.org/anthology/P19-1305},
 year = {2019}
}

@inproceedings{durmus-etal-2020-feqa,
 address = {Online},
 author = {Durmus, Esin  and
He, He  and
Diab, Mona},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.454},
 pages = {5055--5070},
 publisher = {Association for Computational Linguistics},
 title = {{FEQA}: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/2020.acl-main.454},
 year = {2020}
}

@inproceedings{enarvi-etal-2020-generating,
 address = {Online},
 author = {Enarvi, Seppo  and
Amoia, Marilisa  and
Del-Agua Teba, Miguel  and
Delaney, Brian  and
Diehl, Frank  and
Hahn, Stefan  and
Harris, Kristina  and
McGrath, Liam  and
Pan, Yue  and
Pinto, Joel  and
Rubini, Luca  and
Ruiz, Miguel  and
Singh, Gagandeep  and
Stemmer, Fabian  and
Sun, Weiyi  and
Vozila, Paul  and
Lin, Thomas  and
Ramamurthy, Ranjani},
 booktitle = {Proceedings of the First Workshop on Natural Language Processing for Medical Conversations},
 doi = {10.18653/v1/2020.nlpmc-1.4},
 pages = {22--30},
 publisher = {Association for Computational Linguistics},
 title = {Generating Medical Reports from Patient-Doctor Conversations Using Sequence-to-Sequence Models},
 url = {https://www.aclweb.org/anthology/2020.nlpmc-1.4},
 year = {2020}
}

@inproceedings{falke-etal-2019-ranking,
 address = {Florence, Italy},
 author = {Falke, Tobias  and
Ribeiro, Leonardo F. R.  and
Utama, Prasetya Ajie  and
Dagan, Ido  and
Gurevych, Iryna},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1213},
 pages = {2214--2220},
 publisher = {Association for Computational Linguistics},
 title = {Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference},
 url = {https://www.aclweb.org/anthology/P19-1213},
 year = {2019}
}

@inproceedings{falke-gurevych-2017-bringing,
 address = {Copenhagen, Denmark},
 author = {Falke, Tobias  and
Gurevych, Iryna},
 booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
 doi = {10.18653/v1/D17-1320},
 pages = {2951--2961},
 publisher = {Association for Computational Linguistics},
 title = {Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps},
 url = {https://www.aclweb.org/anthology/D17-1320},
 year = {2017}
}

@inproceedings{falke-gurevych-2019-fast,
 address = {Minneapolis, Minnesota},
 author = {Falke, Tobias  and
Gurevych, Iryna},
 booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
 doi = {10.18653/v1/N19-1074},
 pages = {695--700},
 publisher = {Association for Computational Linguistics},
 title = {Fast Concept Mention Grouping for Concept Map-based Multi-Document Summarization},
 url = {https://www.aclweb.org/anthology/N19-1074},
 year = {2019}
}

@inproceedings{fan-etal-2018-controllable,
 address = {Melbourne, Australia},
 author = {Fan, Angela  and
Grangier, David  and
Auli, Michael},
 booktitle = {Proceedings of the 2nd Workshop on Neural Machine Translation and Generation},
 doi = {10.18653/v1/W18-2706},
 pages = {45--54},
 publisher = {Association for Computational Linguistics},
 title = {Controllable Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/W18-2706},
 year = {2018}
}

@inproceedings{fan-etal-2018-controllable,
 address = {Melbourne, Australia},
 author = {Fan, Angela  and
Grangier, David  and
Auli, Michael},
 booktitle = {Proceedings of the 2nd Workshop on Neural Machine Translation and Generation},
 doi = {10.18653/v1/W18-2706},
 pages = {45--54},
 publisher = {Association for Computational Linguistics},
 title = {Controllable Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/W18-2706},
 year = {2018}
}

@inproceedings{frermann-klementiev-2019-inducing,
 address = {Florence, Italy},
 author = {Frermann, Lea  and
Klementiev, Alexandre},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1630},
 pages = {6263--6273},
 publisher = {Association for Computational Linguistics},
 title = {Inducing Document Structure for Aspect-based Summarization},
 url = {https://www.aclweb.org/anthology/P19-1630},
 year = {2019}
}

@inproceedings{fuentes-etal-2012-summarizing,
 address = {Istanbul, Turkey},
 author = {Fuentes, Maria  and
Rodr{\'\i}guez, Horacio  and
Turmo, Jordi},
 booktitle = {Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)},
 pages = {2553--2558},
 publisher = {European Language Resources Association (ELRA)},
 title = {Summarizing a multimodal set of documents in a Smart Room},
 url = {http://www.lrec-conf.org/proceedings/lrec2012/pdf/882_Paper.pdf},
 year = {2012}
}

@inproceedings{gao-etal-2020-supert,
 address = {Online},
 author = {Gao, Yang  and
Zhao, Wei  and
Eger, Steffen},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.124},
 pages = {1347--1354},
 publisher = {Association for Computational Linguistics},
 title = {{SUPERT}: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization},
 url = {https://www.aclweb.org/anthology/2020.acl-main.124},
 year = {2020}
}

@inproceedings{gehrmann-etal-2018-bottom,
 address = {Brussels, Belgium},
 author = {Gehrmann, Sebastian  and
Deng, Yuntian  and
Rush, Alexander},
 booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
 doi = {10.18653/v1/D18-1443},
 pages = {4098--4109},
 publisher = {Association for Computational Linguistics},
 title = {Bottom-Up Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/D18-1443},
 year = {2018}
}

@inproceedings{gholipour-ghalandari-ifrim-2020-examining,
 address = {Online},
 author = {Gholipour Ghalandari, Demian  and
Ifrim, Georgiana},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.122},
 pages = {1322--1334},
 publisher = {Association for Computational Linguistics},
 title = {Examining the State-of-the-Art in News Timeline Summarization},
 url = {https://www.aclweb.org/anthology/2020.acl-main.122},
 year = {2020}
}

@inproceedings{ghosh-roy-etal-2020-summaformers,
 address = {Online},
 author = {Ghosh Roy, Sayar  and
Pinnaparaju, Nikhil  and
Jain, Risubh  and
Gupta, Manish  and
Varma, Vasudeva},
 booktitle = {Proceedings of the First Workshop on Scholarly Document Processing},
 doi = {10.18653/v1/2020.sdp-1.39},
 pages = {336--343},
 publisher = {Association for Computational Linguistics},
 title = {Summaformers @ {L}ay{S}umm 20, {L}ong{S}umm 20},
 url = {https://www.aclweb.org/anthology/2020.sdp-1.39},
 year = {2020}
}

@inproceedings{gliwa-etal-2019-samsum,
 address = {Hong Kong, China},
 author = {Gliwa, Bogdan  and
Mochol, Iwona  and
Biesek, Maciej  and
Wawer, Aleksander},
 booktitle = {Proceedings of the 2nd Workshop on New Frontiers in Summarization},
 doi = {10.18653/v1/D19-5409},
 pages = {70--79},
 publisher = {Association for Computational Linguistics},
 title = {{SAMS}um Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/D19-5409},
 year = {2019}
}

@inproceedings{goodwin-etal-2020-flight,
 address = {Barcelona, Spain (Online)},
 author = {Goodwin, Travis  and
Savery, Max  and
Demner-Fushman, Dina},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.494},
 pages = {5640--5646},
 publisher = {International Committee on Computational Linguistics},
 title = {Flight of the {PEGASUS}? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/2020.coling-main.494},
 year = {2020}
}

@inproceedings{goodwin-etal-2020-towards,
 address = {Online},
 author = {Goodwin, Travis  and
Savery, Max  and
Demner-Fushman, Dina},
 booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2020},
 doi = {10.18653/v1/2020.findings-emnlp.289},
 pages = {3215--3226},
 publisher = {Association for Computational Linguistics},
 title = {Towards {Z}ero-{S}hot {C}onditional {S}ummarization with {A}daptive {M}ulti-{T}ask {F}ine-{T}uning},
 url = {https://www.aclweb.org/anthology/2020.findings-emnlp.289},
 year = {2020}
}

@inproceedings{grenander-etal-2019-countering,
 address = {Hong Kong, China},
 author = {Grenander, Matt  and
Dong, Yue  and
Cheung, Jackie Chi Kit  and
Louis, Annie},
 booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
 doi = {10.18653/v1/D19-1620},
 pages = {6019--6024},
 publisher = {Association for Computational Linguistics},
 title = {Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses},
 url = {https://www.aclweb.org/anthology/D19-1620},
 year = {2019}
}

@inproceedings{gui-etal-2019-attention,
 address = {Hong Kong, China},
 author = {Gui, Min  and
Tian, Junfeng  and
Wang, Rui  and
Yang, Zhenglu},
 booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
 doi = {10.18653/v1/D19-1117},
 pages = {1222--1228},
 publisher = {Association for Computational Linguistics},
 title = {Attention Optimization for Abstractive Document Summarization},
 url = {https://www.aclweb.org/anthology/D19-1117},
 year = {2019}
}

@inproceedings{guo-etal-2018-soft,
 address = {Melbourne, Australia},
 author = {Guo, Han  and
Pasunuru, Ramakanth  and
Bansal, Mohit},
 booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
 doi = {10.18653/v1/P18-1064},
 pages = {687--697},
 publisher = {Association for Computational Linguistics},
 title = {Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation},
 url = {https://www.aclweb.org/anthology/P18-1064},
 year = {2018}
}

@inproceedings{gupta-etal-2014-text,
 address = {Dublin, Ireland},
 author = {Gupta, Anand  and
Kaur, Manpreet  and
Mirkin, Shachar  and
Singh, Adarsh  and
Goyal, Aseem},
 booktitle = {Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*{SEM} 2014)},
 doi = {10.3115/v1/S14-1010},
 pages = {75--80},
 publisher = {Association for Computational Linguistics and Dublin City University},
 title = {Text Summarization through Entailment-based Minimum Vertex Cover},
 url = {https://www.aclweb.org/anthology/S14-1010},
 year = {2014}
}

@inproceedings{hardy-etal-2019-highres,
 address = {Florence, Italy},
 author = {Hardy, Hardy  and
Narayan, Shashi  and
Vlachos, Andreas},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1330},
 pages = {3381--3392},
 publisher = {Association for Computational Linguistics},
 title = {{H}igh{RES}: Highlight-based Reference-less Evaluation of Summarization},
 url = {https://www.aclweb.org/anthology/P19-1330},
 year = {2019}
}

@inproceedings{hsu-etal-2018-unified,
 address = {Melbourne, Australia},
 author = {Hsu, Wan-Ting  and
Lin, Chieh-Kai  and
Lee, Ming-Ying  and
Min, Kerui  and
Tang, Jing  and
Sun, Min},
 booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
 doi = {10.18653/v1/P18-1013},
 pages = {132--141},
 publisher = {Association for Computational Linguistics},
 title = {A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss},
 url = {https://www.aclweb.org/anthology/P18-1013},
 year = {2018}
}

@inproceedings{hu-etal-2012-context,
 address = {Mumbai, India},
 author = {Hu, Po  and
Ji, Donghong  and
Teng, Chong  and
Guo, Yujing},
 booktitle = {Proceedings of {COLING} 2012},
 pages = {1223--1238},
 publisher = {The COLING 2012 Organizing Committee},
 title = {Context-Enhanced Personalized Social Summarization},
 url = {https://www.aclweb.org/anthology/C12-1075},
 year = {2012}
}

@inproceedings{huang-etal-2020-achieved,
 address = {Online},
 author = {Huang, Dandan  and
Cui, Leyang  and
Yang, Sen  and
Bao, Guangsheng  and
Wang, Kun  and
Xie, Jun  and
Zhang, Yue},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.33},
 pages = {446--469},
 publisher = {Association for Computational Linguistics},
 title = {What Have We Achieved on Text Summarization?},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.33},
 year = {2020}
}

@inproceedings{huang-etal-2020-knowledge,
 address = {Online},
 author = {Huang, Luyang  and
Wu, Lingfei  and
Wang, Lu},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.457},
 pages = {5094--5107},
 publisher = {Association for Computational Linguistics},
 title = {Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward},
 url = {https://www.aclweb.org/anthology/2020.acl-main.457},
 year = {2020}
}

@inproceedings{isonuma-etal-2017-extractive,
 address = {Copenhagen, Denmark},
 author = {Isonuma, Masaru  and
Fujino, Toru  and
Mori, Junichiro  and
Matsuo, Yutaka  and
Sakata, Ichiro},
 booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
 doi = {10.18653/v1/D17-1223},
 pages = {2101--2110},
 publisher = {Association for Computational Linguistics},
 title = {Extractive Summarization Using Multi-Task Learning with Document Classification},
 url = {https://www.aclweb.org/anthology/D17-1223},
 year = {2017}
}

@inproceedings{isonuma-etal-2019-unsupervised,
 address = {Florence, Italy},
 author = {Isonuma, Masaru  and
Mori, Junichiro  and
Sakata, Ichiro},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1206},
 pages = {2142--2152},
 publisher = {Association for Computational Linguistics},
 title = {Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking},
 url = {https://www.aclweb.org/anthology/P19-1206},
 year = {2019}
}

@inproceedings{isonuma-etal-2019-unsupervised,
 address = {Florence, Italy},
 author = {Isonuma, Masaru  and
Mori, Junichiro  and
Sakata, Ichiro},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1206},
 pages = {2142--2152},
 publisher = {Association for Computational Linguistics},
 title = {Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking},
 url = {https://www.aclweb.org/anthology/P19-1206},
 year = {2019}
}

@inproceedings{jadhav-rajan-2018-extractive,
 address = {Melbourne, Australia},
 author = {Jadhav, Aishwarya  and
Rajan, Vaibhav},
 booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
 doi = {10.18653/v1/P18-1014},
 pages = {142--151},
 publisher = {Association for Computational Linguistics},
 title = {Extractive Summarization with {SWAP}-{NET}: Sentences and Words from Alternating Pointer Networks},
 url = {https://www.aclweb.org/anthology/P18-1014},
 year = {2018}
}

@inproceedings{jia-etal-2020-neural,
 address = {Online},
 author = {Jia, Ruipeng  and
Cao, Yanan  and
Tang, Hengzhu  and
Fang, Fang  and
Cao, Cong  and
Wang, Shi},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.295},
 pages = {3622--3631},
 publisher = {Association for Computational Linguistics},
 title = {Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.295},
 year = {2020}
}

@inproceedings{jiang-bansal-2018-closed,
 address = {Brussels, Belgium},
 author = {Jiang, Yichen  and
Bansal, Mohit},
 booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
 doi = {10.18653/v1/D18-1440},
 pages = {4067--4077},
 publisher = {Association for Computational Linguistics},
 title = {Closed-Book Training to Improve Summarization Encoder Memory},
 url = {https://www.aclweb.org/anthology/D18-1440},
 year = {2018}
}

@inproceedings{jin-etal-2020-hooks,
 address = {Online},
 author = {Jin, Di  and
Jin, Zhijing  and
Zhou, Joey Tianyi  and
Orii, Lisa  and
Szolovits, Peter},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.456},
 pages = {5082--5093},
 publisher = {Association for Computational Linguistics},
 title = {Hooks in the Headline: Learning to Generate Headlines with Controlled Styles},
 url = {https://www.aclweb.org/anthology/2020.acl-main.456},
 year = {2020}
}

@inproceedings{jin-etal-2020-multi,
 address = {Online},
 author = {Jin, Hanqi  and
Wang, Tianming  and
Wan, Xiaojun},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.556},
 pages = {6244--6254},
 publisher = {Association for Computational Linguistics},
 title = {Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization},
 url = {https://www.aclweb.org/anthology/2020.acl-main.556},
 year = {2020}
}

@inproceedings{jin-wan-2020-abstractive,
 address = {Online},
 author = {Jin, Hanqi  and
Wan, Xiaojun},
 booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2020},
 doi = {10.18653/v1/2020.findings-emnlp.231},
 pages = {2545--2554},
 publisher = {Association for Computational Linguistics},
 title = {Abstractive Multi-Document Summarization via Joint Learning with Single-Document Summarization},
 url = {https://www.aclweb.org/anthology/2020.findings-emnlp.231},
 year = {2020}
}

@inproceedings{joshi-etal-2020-dr,
 address = {Online},
 author = {Joshi, Anirudh  and
Katariya, Namit  and
Amatriain, Xavier  and
Kannan, Anitha},
 booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2020},
 doi = {10.18653/v1/2020.findings-emnlp.335},
 pages = {3755--3763},
 publisher = {Association for Computational Linguistics},
 title = {Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures.},
 url = {https://www.aclweb.org/anthology/2020.findings-emnlp.335},
 year = {2020}
}

@inproceedings{jung-etal-2019-earlier,
 address = {Hong Kong, China},
 author = {Jung, Taehee  and
Kang, Dongyeop  and
Mentch, Lucas  and
Hovy, Eduard},
 booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
 doi = {10.18653/v1/D19-1327},
 pages = {3324--3335},
 publisher = {Association for Computational Linguistics},
 title = {Earlier Isn{'}t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization},
 url = {https://www.aclweb.org/anthology/D19-1327},
 year = {2019}
}

@inproceedings{kano-etal-2020-identifying,
 address = {Suzhou, China},
 author = {Kano, Ryuji  and
Miura, Yasuhide  and
Taniguchi, Tomoki  and
Ohkuma, Tomoko},
 booktitle = {Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing},
 pages = {291--302},
 publisher = {Association for Computational Linguistics},
 title = {Identifying Implicit Quotes for Unsupervised Extractive Summarization of Conversations},
 url = {https://www.aclweb.org/anthology/2020.aacl-main.32},
 year = {2020}
}

@inproceedings{kazemi-etal-2020-biased,
 address = {Barcelona, Spain (Online)},
 author = {Kazemi, Ashkan  and
P{\'e}rez-Rosas, Ver{\'o}nica  and
Mihalcea, Rada},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.144},
 pages = {1642--1652},
 publisher = {International Committee on Computational Linguistics},
 title = {Biased {T}ext{R}ank: Unsupervised Graph-Based Content Extraction},
 url = {https://www.aclweb.org/anthology/2020.coling-main.144},
 year = {2020}
}

@inproceedings{kazi-kahanda-2019-automatically,
 address = {Minneapolis, Minnesota, USA},
 author = {Kazi, Nazmul  and
Kahanda, Indika},
 booktitle = {Proceedings of the 2nd Clinical Natural Language Processing Workshop},
 doi = {10.18653/v1/W19-1918},
 pages = {140--148},
 publisher = {Association for Computational Linguistics},
 title = {Automatically Generating Psychiatric Case Notes From Digital Transcripts of Doctor-Patient Conversations},
 url = {https://www.aclweb.org/anthology/W19-1918},
 year = {2019}
}

@inproceedings{kedzie-etal-2018-content,
 address = {Brussels, Belgium},
 author = {Kedzie, Chris  and
McKeown, Kathleen  and
Daum{\'e} III, Hal},
 booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
 doi = {10.18653/v1/D18-1208},
 pages = {1818--1828},
 publisher = {Association for Computational Linguistics},
 title = {Content Selection in Deep Learning Models of Summarization},
 url = {https://www.aclweb.org/anthology/D18-1208},
 year = {2018}
}

@inproceedings{khullar-arora-2020-mast,
 address = {Online},
 author = {Khullar, Aman  and
Arora, Udit},
 booktitle = {Proceedings of the First International Workshop on Natural Language Processing Beyond Text},
 doi = {10.18653/v1/2020.nlpbt-1.7},
 pages = {60--69},
 publisher = {Association for Computational Linguistics},
 title = {{MAST}: Multimodal Abstractive Summarization with Trimodal Hierarchical Attention},
 url = {https://www.aclweb.org/anthology/2020.nlpbt-1.7},
 year = {2020}
}

@inproceedings{kikuchi-etal-2016-controlling,
 address = {Austin, Texas},
 author = {Kikuchi, Yuta  and
Neubig, Graham  and
Sasano, Ryohei  and
Takamura, Hiroya  and
Okumura, Manabu},
 booktitle = {Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing},
 doi = {10.18653/v1/D16-1140},
 pages = {1328--1338},
 publisher = {Association for Computational Linguistics},
 title = {Controlling Output Length in Neural Encoder-Decoders},
 url = {https://www.aclweb.org/anthology/D16-1140},
 year = {2016}
}

@inproceedings{koay-etal-2020-domain,
 address = {Barcelona, Spain (Online)},
 author = {Koay, Jia Jin  and
Roustai, Alexander  and
Dai, Xiaojin  and
Burns, Dillon  and
Kerrigan, Alec  and
Liu, Fei},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.499},
 pages = {5689--5695},
 publisher = {International Committee on Computational Linguistics},
 title = {How Domain Terminology Affects Meeting Summarization Performance},
 url = {https://www.aclweb.org/anthology/2020.coling-main.499},
 year = {2020}
}

@inproceedings{kohita-etal-2020-q,
 address = {Online},
 author = {Kohita, Ryosuke  and
Wachi, Akifumi  and
Zhao, Yang  and
Tachibana, Ryuki},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.34},
 pages = {470--484},
 publisher = {Association for Computational Linguistics},
 title = {{Q}-learning with Language Model for Edit-based Unsupervised Summarization},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.34},
 year = {2020}
}

@inproceedings{kryscinski-etal-2019-neural,
 address = {Hong Kong, China},
 author = {Kryscinski, Wojciech  and
Keskar, Nitish Shirish  and
McCann, Bryan  and
Xiong, Caiming  and
Socher, Richard},
 booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
 doi = {10.18653/v1/D19-1051},
 pages = {540--551},
 publisher = {Association for Computational Linguistics},
 title = {Neural Text Summarization: A Critical Evaluation},
 url = {https://www.aclweb.org/anthology/D19-1051},
 year = {2019}
}

@inproceedings{kryscinski-etal-2020-evaluating,
 address = {Online},
 author = {Kryscinski, Wojciech  and
McCann, Bryan  and
Xiong, Caiming  and
Socher, Richard},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.750},
 pages = {9332--9346},
 publisher = {Association for Computational Linguistics},
 title = {Evaluating the Factual Consistency of Abstractive Text Summarization},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.750},
 year = {2020}
}

@inproceedings{laban-etal-2020-summary,
 address = {Online},
 author = {Laban, Philippe  and
Hsi, Andrew  and
Canny, John  and
Hearst, Marti A.},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.460},
 pages = {5135--5150},
 publisher = {Association for Computational Linguistics},
 title = {The Summary Loop: Learning to Write Abstractive Summaries Without Examples},
 url = {https://www.aclweb.org/anthology/2020.acl-main.460},
 year = {2020}
}

@inproceedings{ladhak-etal-2020-wikilingua,
 address = {Online},
 author = {Ladhak, Faisal  and
Durmus, Esin  and
Cardie, Claire  and
McKeown, Kathleen},
 booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2020},
 doi = {10.18653/v1/2020.findings-emnlp.360},
 pages = {4034--4048},
 publisher = {Association for Computational Linguistics},
 title = {{W}iki{L}ingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/2020.findings-emnlp.360},
 year = {2020}
}

@inproceedings{laskar-etal-2020-wsl,
 address = {Barcelona, Spain (Online)},
 author = {Laskar, Md Tahmid Rahman  and
Hoque, Enamul  and
Huang, Jimmy Xiangji},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.495},
 pages = {5647--5654},
 publisher = {International Committee on Computational Linguistics},
 title = {{WSL}-{DS}: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/2020.coling-main.495},
 year = {2020}
}

@inproceedings{lebanoff-etal-2018-adapting,
 address = {Brussels, Belgium},
 author = {Lebanoff, Logan  and
Song, Kaiqiang  and
Liu, Fei},
 booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
 doi = {10.18653/v1/D18-1446},
 pages = {4131--4141},
 publisher = {Association for Computational Linguistics},
 title = {Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization},
 url = {https://www.aclweb.org/anthology/D18-1446},
 year = {2018}
}

@inproceedings{lebanoff-etal-2019-scoring,
 address = {Florence, Italy},
 author = {Lebanoff, Logan  and
Song, Kaiqiang  and
Dernoncourt, Franck  and
Kim, Doo Soon  and
Kim, Seokhwan  and
Chang, Walter  and
Liu, Fei},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1209},
 pages = {2175--2189},
 publisher = {Association for Computational Linguistics},
 title = {Scoring Sentence Singletons and Pairs for Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/P19-1209},
 year = {2019}
}

@inproceedings{lebanoff-etal-2020-cascade,
 address = {Suzhou, China},
 author = {Lebanoff, Logan  and
Dernoncourt, Franck  and
Kim, Doo Soon  and
Chang, Walter  and
Liu, Fei},
 booktitle = {Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing},
 pages = {529--535},
 publisher = {Association for Computational Linguistics},
 title = {A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion},
 url = {https://www.aclweb.org/anthology/2020.aacl-main.52},
 year = {2020}
}

@inproceedings{lebanoff-etal-2020-learning,
 address = {Online},
 author = {Lebanoff, Logan  and
Dernoncourt, Franck  and
Kim, Doo Soon  and
Wang, Lidan  and
Chang, Walter  and
Liu, Fei},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.338},
 pages = {4136--4142},
 publisher = {Association for Computational Linguistics},
 title = {Learning to Fuse Sentences with Transformers for Summarization},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.338},
 year = {2020}
}

@inproceedings{lev-etal-2019-talksumm,
 address = {Florence, Italy},
 author = {Lev, Guy  and
Shmueli-Scheuer, Michal  and
Herzig, Jonathan  and
Jerbi, Achiya  and
Konopnicki, David},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1204},
 pages = {2125--2131},
 publisher = {Association for Computational Linguistics},
 title = {{T}alk{S}umm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks},
 url = {https://www.aclweb.org/anthology/P19-1204},
 year = {2019}
}

@inproceedings{li-etal-2017-deep,
 address = {Copenhagen, Denmark},
 author = {Li, Piji  and
Lam, Wai  and
Bing, Lidong  and
Wang, Zihao},
 booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
 doi = {10.18653/v1/D17-1222},
 pages = {2091--2100},
 publisher = {Association for Computational Linguistics},
 title = {Deep Recurrent Generative Decoder for Abstractive Text Summarization},
 url = {https://www.aclweb.org/anthology/D17-1222},
 year = {2017}
}

@inproceedings{li-etal-2017-multi,
 address = {Copenhagen, Denmark},
 author = {Li, Haoran  and
Zhu, Junnan  and
Ma, Cong  and
Zhang, Jiajun  and
Zong, Chengqing},
 booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
 doi = {10.18653/v1/D17-1114},
 pages = {1092--1102},
 publisher = {Association for Computational Linguistics},
 title = {Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video},
 url = {https://www.aclweb.org/anthology/D17-1114},
 year = {2017}
}

@inproceedings{li-etal-2018-ensure,
 address = {Santa Fe, New Mexico, USA},
 author = {Li, Haoran  and
Zhu, Junnan  and
Zhang, Jiajun  and
Zong, Chengqing},
 booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
 pages = {1430--1441},
 publisher = {Association for Computational Linguistics},
 title = {Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization},
 url = {https://www.aclweb.org/anthology/C18-1121},
 year = {2018}
}

@inproceedings{li-etal-2018-guiding,
 address = {New Orleans, Louisiana},
 author = {Li, Chenliang  and
Xu, Weiran  and
Li, Si  and
Gao, Sheng},
 booktitle = {Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)},
 doi = {10.18653/v1/N18-2009},
 pages = {55--60},
 publisher = {Association for Computational Linguistics},
 title = {Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network},
 url = {https://www.aclweb.org/anthology/N18-2009},
 year = {2018}
}

@inproceedings{li-etal-2018-improving,
 address = {Brussels, Belgium},
 author = {Li, Wei  and
Xiao, Xinyan  and
Lyu, Yajuan  and
Wang, Yuanzhuo},
 booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
 doi = {10.18653/v1/D18-1205},
 pages = {1787--1796},
 publisher = {Association for Computational Linguistics},
 title = {Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling},
 url = {https://www.aclweb.org/anthology/D18-1205},
 year = {2018}
}

@inproceedings{li-etal-2018-improving-neural,
 address = {Brussels, Belgium},
 author = {Li, Wei  and
Xiao, Xinyan  and
Lyu, Yajuan  and
Wang, Yuanzhuo},
 booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
 doi = {10.18653/v1/D18-1441},
 pages = {4078--4087},
 publisher = {Association for Computational Linguistics},
 title = {Improving Neural Abstractive Document Summarization with Structural Regularization},
 url = {https://www.aclweb.org/anthology/D18-1441},
 year = {2018}
}

@inproceedings{li-etal-2019-deep,
 address = {Hong Kong, China},
 author = {Li, Siyao  and
Lei, Deren  and
Qin, Pengda  and
Wang, William Yang},
 booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
 doi = {10.18653/v1/D19-1623},
 pages = {6038--6044},
 publisher = {Association for Computational Linguistics},
 title = {Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/D19-1623},
 year = {2019}
}

@inproceedings{li-etal-2019-keep,
 address = {Florence, Italy},
 author = {Li, Manling  and
Zhang, Lingyu  and
Ji, Heng  and
Radke, Richard J.},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1210},
 pages = {2190--2196},
 publisher = {Association for Computational Linguistics},
 title = {Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization},
 url = {https://www.aclweb.org/anthology/P19-1210},
 year = {2019}
}

@inproceedings{li-etal-2019-keep,
 address = {Florence, Italy},
 author = {Li, Manling  and
Zhang, Lingyu  and
Ji, Heng  and
Radke, Richard J.},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1210},
 pages = {2190--2196},
 publisher = {Association for Computational Linguistics},
 title = {Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization},
 url = {https://www.aclweb.org/anthology/P19-1210},
 year = {2019}
}

@inproceedings{li-etal-2020-leveraging,
 address = {Online},
 author = {Li, Wei  and
Xiao, Xinyan  and
Liu, Jiachen  and
Wu, Hua  and
Wang, Haifeng  and
Du, Junping},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.555},
 pages = {6232--6243},
 publisher = {Association for Computational Linguistics},
 title = {Leveraging Graph to Improve Abstractive Multi-Document Summarization},
 url = {https://www.aclweb.org/anthology/2020.acl-main.555},
 year = {2020}
}

@inproceedings{li-etal-2020-multimodal,
 address = {Barcelona, Spain (Online)},
 author = {Li, Haoran  and
Zhu, Junnan  and
Zhang, Jiajun  and
He, Xiaodong  and
Zong, Chengqing},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.496},
 pages = {5655--5667},
 publisher = {International Committee on Computational Linguistics},
 title = {Multimodal Sentence Summarization via Multimodal Selective Encoding},
 url = {https://www.aclweb.org/anthology/2020.coling-main.496},
 year = {2020}
}

@inproceedings{li-etal-2020-vmsmo,
 address = {Online},
 author = {Li, Mingzhe  and
Chen, Xiuying  and
Gao, Shen  and
Chan, Zhangming  and
Zhao, Dongyan  and
Yan, Rui},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.752},
 pages = {9360--9369},
 publisher = {Association for Computational Linguistics},
 title = {{VMSMO}: Learning to Generate Multimodal Summary for Video-based News Articles},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.752},
 year = {2020}
}

@inproceedings{litvak-last-2013-multilingual,
 address = {Sofia, Bulgaria},
 author = {Litvak, Marina  and
Last, Mark},
 booktitle = {Proceedings of the {M}ulti{L}ing 2013 Workshop on Multilingual Multi-document Summarization},
 pages = {77--81},
 publisher = {Association for Computational Linguistics},
 title = {Multilingual Single-Document Summarization with {MUSE}},
 url = {https://www.aclweb.org/anthology/W13-3111},
 year = {2013}
}

@inproceedings{liu-chen-2019-exploiting,
 address = {Hong Kong, China},
 author = {Liu, Zhengyuan  and
Chen, Nancy},
 booktitle = {Proceedings of the 2nd Workshop on New Frontiers in Summarization},
 doi = {10.18653/v1/D19-5415},
 pages = {116--121},
 publisher = {Association for Computational Linguistics},
 title = {Exploiting Discourse-Level Segmentation for Extractive Summarization},
 url = {https://www.aclweb.org/anthology/D19-5415},
 year = {2019}
}

@inproceedings{liu-chen-2019-exploiting,
 address = {Hong Kong, China},
 author = {Liu, Zhengyuan  and
Chen, Nancy},
 booktitle = {Proceedings of the 2nd Workshop on New Frontiers in Summarization},
 doi = {10.18653/v1/D19-5415},
 pages = {116--121},
 publisher = {Association for Computational Linguistics},
 title = {Exploiting Discourse-Level Segmentation for Extractive Summarization},
 url = {https://www.aclweb.org/anthology/D19-5415},
 year = {2019}
}

@inproceedings{liu-etal-2015-toward,
 address = {Denver, Colorado},
 author = {Liu, Fei  and
Flanigan, Jeffrey  and
Thomson, Sam  and
Sadeh, Norman  and
Smith, Noah A.},
 booktitle = {Proceedings of the 2015 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies},
 doi = {10.3115/v1/N15-1114},
 pages = {1077--1086},
 publisher = {Association for Computational Linguistics},
 title = {Toward Abstractive Summarization Using Semantic Representations},
 url = {https://www.aclweb.org/anthology/N15-1114},
 year = {2015}
}

@inproceedings{liu-etal-2018-controlling,
 address = {Brussels, Belgium},
 author = {Liu, Yizhu  and
Luo, Zhiyi  and
Zhu, Kenny},
 booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
 doi = {10.18653/v1/D18-1444},
 pages = {4110--4119},
 publisher = {Association for Computational Linguistics},
 title = {Controlling Length in Abstractive Summarization Using a Convolutional Neural Network},
 url = {https://www.aclweb.org/anthology/D18-1444},
 year = {2018}
}

@inproceedings{liu-etal-2019-single,
 address = {Minneapolis, Minnesota},
 author = {Liu, Yang  and
Titov, Ivan  and
Lapata, Mirella},
 booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
 doi = {10.18653/v1/N19-1173},
 pages = {1745--1755},
 publisher = {Association for Computational Linguistics},
 title = {Single Document Summarization as Tree Induction},
 url = {https://www.aclweb.org/anthology/N19-1173},
 year = {2019}
}

@inproceedings{liu-etal-2020-conditional,
 address = {Online},
 author = {Liu, Zhengyuan  and
Shi, Ke  and
Chen, Nancy},
 booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2020},
 doi = {10.18653/v1/2020.findings-emnlp.131},
 pages = {1453--1463},
 publisher = {Association for Computational Linguistics},
 title = {Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization},
 url = {https://www.aclweb.org/anthology/2020.findings-emnlp.131},
 year = {2020}
}

@inproceedings{liu-etal-2020-multistage,
 address = {Online},
 author = {Liu, Nayu  and
Sun, Xian  and
Yu, Hongfeng  and
Zhang, Wenkai  and
Xu, Guangluan},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.144},
 pages = {1834--1845},
 publisher = {Association for Computational Linguistics},
 title = {Multistage Fusion with Forget Gate for Multimodal Summarization in Open-Domain Videos},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.144},
 year = {2020}
}

@inproceedings{liu-lapata-2019-hierarchical,
 address = {Florence, Italy},
 author = {Liu, Yang  and
Lapata, Mirella},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1500},
 pages = {5070--5081},
 publisher = {Association for Computational Linguistics},
 title = {Hierarchical Transformers for Multi-Document Summarization},
 url = {https://www.aclweb.org/anthology/P19-1500},
 year = {2019}
}

@inproceedings{liu-lapata-2019-hierarchical,
 address = {Florence, Italy},
 author = {Liu, Yang  and
Lapata, Mirella},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1500},
 pages = {5070--5081},
 publisher = {Association for Computational Linguistics},
 title = {Hierarchical Transformers for Multi-Document Summarization},
 url = {https://www.aclweb.org/anthology/P19-1500},
 year = {2019}
}

@inproceedings{liu-lapata-2019-text,
 address = {Hong Kong, China},
 author = {Liu, Yang  and
Lapata, Mirella},
 booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
 doi = {10.18653/v1/D19-1387},
 pages = {3730--3740},
 publisher = {Association for Computational Linguistics},
 title = {Text Summarization with Pretrained Encoders},
 url = {https://www.aclweb.org/anthology/D19-1387},
 year = {2019}
}

@inproceedings{luo-etal-2019-reading,
 address = {Hong Kong, China},
 author = {Luo, Ling  and
Ao, Xiang  and
Song, Yan  and
Pan, Feiyang  and
Yang, Min  and
He, Qing},
 booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
 doi = {10.18653/v1/D19-1300},
 pages = {3033--3043},
 publisher = {Association for Computational Linguistics},
 title = {Reading Like {HER}: Human Reading Inspired Extractive Summarization},
 url = {https://www.aclweb.org/anthology/D19-1300},
 year = {2019}
}

@inproceedings{lux-etal-2020-truth,
 address = {Online},
 author = {Lux, Klaus-Michael  and
Sappelli, Maya  and
Larson, Martha},
 booktitle = {Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems},
 doi = {10.18653/v1/2020.eval4nlp-1.1},
 pages = {1--10},
 publisher = {Association for Computational Linguistics},
 title = {Truth or Error? Towards systematic analysis of factual errors in abstractive summaries},
 url = {https://www.aclweb.org/anthology/2020.eval4nlp-1.1},
 year = {2020}
}

@inproceedings{ma-etal-2016-unsupervised-multi,
 address = {Osaka, Japan},
 author = {Ma, Shulei  and
Deng, Zhi-Hong  and
Yang, Yunlun},
 booktitle = {Proceedings of {COLING} 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
 pages = {1514--1523},
 publisher = {The COLING 2016 Organizing Committee},
 title = {An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model},
 url = {https://www.aclweb.org/anthology/C16-1143},
 year = {2016}
}

@inproceedings{malykh-etal-2020-sumtitles,
 address = {Barcelona, Spain (Online)},
 author = {Malykh, Valentin  and
Chernis, Konstantin  and
Artemova, Ekaterina  and
Piontkovskaya, Irina},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.503},
 pages = {5718--5730},
 publisher = {International Committee on Computational Linguistics},
 title = {{S}um{T}itles: a Summarization Dataset with Low Extractiveness},
 url = {https://www.aclweb.org/anthology/2020.coling-main.503},
 year = {2020}
}

@inproceedings{mao-etal-2020-multi,
 address = {Online},
 author = {Mao, Yuning  and
Qu, Yanru  and
Xie, Yiqing  and
Ren, Xiang  and
Han, Jiawei},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.136},
 pages = {1737--1751},
 publisher = {Association for Computational Linguistics},
 title = {Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.136},
 year = {2020}
}

@inproceedings{matsumaru-etal-2020-improving,
 address = {Online},
 author = {Matsumaru, Kazuki  and
Takase, Sho  and
Okazaki, Naoaki},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.123},
 pages = {1335--1346},
 publisher = {Association for Computational Linguistics},
 title = {Improving Truthfulness of Headline Generation},
 url = {https://www.aclweb.org/anthology/2020.acl-main.123},
 year = {2020}
}

@inproceedings{maynez-etal-2020-faithfulness,
 address = {Online},
 author = {Maynez, Joshua  and
Narayan, Shashi  and
Bohnet, Bernd  and
McDonald, Ryan},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.173},
 pages = {1906--1919},
 publisher = {Association for Computational Linguistics},
 title = {On Faithfulness and Factuality in Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/2020.acl-main.173},
 year = {2020}
}

@inproceedings{mehdad-etal-2013-abstractive,
 address = {Sofia, Bulgaria},
 author = {Mehdad, Yashar  and
Carenini, Giuseppe  and
Tompa, Frank  and
Ng, Raymond T.},
 booktitle = {Proceedings of the 14th {E}uropean Workshop on Natural Language Generation},
 pages = {136--146},
 publisher = {Association for Computational Linguistics},
 title = {Abstractive Meeting Summarization with Entailment and Fusion},
 url = {https://www.aclweb.org/anthology/W13-2117},
 year = {2013}
}

@inproceedings{mendes-etal-2019-jointly,
 address = {Minneapolis, Minnesota},
 author = {Mendes, Afonso  and
Narayan, Shashi  and
Miranda, Sebasti{\~a}o  and
Marinho, Zita  and
Martins, Andr{\'e} F. T.  and
Cohen, Shay B.},
 booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
 doi = {10.18653/v1/N19-1397},
 pages = {3955--3966},
 publisher = {Association for Computational Linguistics},
 title = {Jointly Extracting and Compressing Documents with Summary State Representations},
 url = {https://www.aclweb.org/anthology/N19-1397},
 year = {2019}
}

@inproceedings{mrabet-demner-fushman-2020-holms,
 address = {Barcelona, Spain (Online)},
 author = {Mrabet, Yassine  and
Demner-Fushman, Dina},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.498},
 pages = {5679--5688},
 publisher = {International Committee on Computational Linguistics},
 title = {{HOLMS}: Alternative Summary Evaluation with Large Language Models},
 url = {https://www.aclweb.org/anthology/2020.coling-main.498},
 year = {2020}
}

@inproceedings{narayan-etal-2018-ranking,
 address = {New Orleans, Louisiana},
 author = {Narayan, Shashi  and
Cohen, Shay B.  and
Lapata, Mirella},
 booktitle = {Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)},
 doi = {10.18653/v1/N18-1158},
 pages = {1747--1759},
 publisher = {Association for Computational Linguistics},
 title = {Ranking Sentences for Extractive Summarization with Reinforcement Learning},
 url = {https://www.aclweb.org/anthology/N18-1158},
 year = {2018}
}

@inproceedings{narayan-etal-2020-stepwise,
 address = {Online},
 author = {Narayan, Shashi  and
Maynez, Joshua  and
Adamek, Jakub  and
Pighin, Daniele  and
Bratanic, Blaz  and
McDonald, Ryan},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.339},
 pages = {4143--4159},
 publisher = {Association for Computational Linguistics},
 title = {Stepwise Extractive Summarization and Planning with Structured Transformers},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.339},
 year = {2020}
}

@inproceedings{nguyen-daume-iii-2019-global,
 address = {Hong Kong, China},
 author = {Nguyen, Khanh  and
Daum{\'e} III, Hal},
 booktitle = {Proceedings of the 2nd Workshop on New Frontiers in Summarization},
 doi = {10.18653/v1/D19-5411},
 pages = {90--97},
 publisher = {Association for Computational Linguistics},
 title = {{G}lobal {V}oices: Crossing Borders in Automatic News Summarization},
 url = {https://www.aclweb.org/anthology/D19-5411},
 year = {2019}
}

@inproceedings{nikolov-etal-2019-summary,
 address = {Varna, Bulgaria},
 author = {Nikolov, Nikola I.  and
Calmanovici, Alessandro  and
Hahnloser, Richard},
 booktitle = {Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)},
 doi = {10.26615/978-954-452-056-4_097},
 pages = {837--843},
 publisher = {INCOMA Ltd.},
 title = {Summary Refinement through Denoising},
 url = {https://www.aclweb.org/anthology/R19-1097},
 year = {2019}
}

@inproceedings{nikolov-hahnloser-2020-abstractive,
 address = {Marseille, France},
 author = {Nikolov, Nikola I.  and
Hahnloser, Richard},
 booktitle = {Proceedings of the 12th Language Resources and Evaluation Conference},
 isbn = {979-10-95546-34-4},
 language = {English},
 pages = {6638--6644},
 publisher = {European Language Resources Association},
 title = {Abstractive Document Summarization without Parallel Data},
 url = {https://www.aclweb.org/anthology/2020.lrec-1.819},
 year = {2020}
}

@inproceedings{ouyang-etal-2019-robust,
 address = {Minneapolis, Minnesota},
 author = {Ouyang, Jessica  and
Song, Boya  and
McKeown, Kathy},
 booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
 doi = {10.18653/v1/N19-1204},
 pages = {2025--2031},
 publisher = {Association for Computational Linguistics},
 title = {A Robust Abstractive System for Cross-Lingual Summarization},
 url = {https://www.aclweb.org/anthology/N19-1204},
 year = {2019}
}

@inproceedings{palaskar-etal-2019-multimodal,
 address = {Florence, Italy},
 author = {Palaskar, Shruti  and
Libovick{\'y}, Jind{\v{r}}ich  and
Gella, Spandana  and
Metze, Florian},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1659},
 pages = {6587--6596},
 publisher = {Association for Computational Linguistics},
 title = {Multimodal Abstractive Summarization for How2 Videos},
 url = {https://www.aclweb.org/anthology/P19-1659},
 year = {2019}
}

@inproceedings{parida-motlicek-2019-abstract,
 address = {Hong Kong, China},
 author = {Parida, Shantipriya  and
Motlicek, Petr},
 booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
 doi = {10.18653/v1/D19-1616},
 pages = {5994--5998},
 publisher = {Association for Computational Linguistics},
 title = {Abstract Text Summarization: A Low Resource Challenge},
 url = {https://www.aclweb.org/anthology/D19-1616},
 year = {2019}
}

@inproceedings{perez-beltrachini-etal-2019-generating,
 address = {Florence, Italy},
 author = {Perez-Beltrachini, Laura  and
Liu, Yang  and
Lapata, Mirella},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1504},
 pages = {5107--5116},
 publisher = {Association for Computational Linguistics},
 title = {Generating Summaries with Topic Templates and Structured Convolutional Decoders},
 url = {https://www.aclweb.org/anthology/P19-1504},
 year = {2019}
}

@inproceedings{peyrard-2019-simple,
 address = {Florence, Italy},
 author = {Peyrard, Maxime},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1101},
 pages = {1059--1073},
 publisher = {Association for Computational Linguistics},
 title = {A Simple Theoretical Model of Importance for Summarization},
 url = {https://www.aclweb.org/anthology/P19-1101},
 year = {2019}
}

@inproceedings{peyrard-west-2020-klearn,
 address = {Online},
 author = {Peyrard, Maxime  and
West, Robert},
 booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2020},
 doi = {10.18653/v1/2020.findings-emnlp.188},
 pages = {2073--2085},
 publisher = {Association for Computational Linguistics},
 title = {{KL}earn: Background Knowledge Inference from Summarization Data},
 url = {https://www.aclweb.org/anthology/2020.findings-emnlp.188},
 year = {2020}
}

@inproceedings{pilault-etal-2020-extractive,
 address = {Online},
 author = {Pilault, Jonathan  and
Li, Raymond  and
Subramanian, Sandeep  and
Pal, Chris},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.748},
 pages = {9308--9319},
 publisher = {Association for Computational Linguistics},
 title = {On Extractive and Abstractive Neural Document Summarization with Transformer Language Models},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.748},
 year = {2020}
}

@inproceedings{rameshkumar-bailey-2020-storytelling,
 address = {Online},
 author = {Rameshkumar, Revanth  and
Bailey, Peter},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.459},
 pages = {5121--5134},
 publisher = {Association for Computational Linguistics},
 title = {Storytelling with Dialogue: {A} {Critical Role Dungeons and Dragons Dataset}},
 url = {https://www.aclweb.org/anthology/2020.acl-main.459},
 year = {2020}
}

@inproceedings{sarkhel-etal-2020-interpretable,
 address = {Barcelona, Spain (Online)},
 author = {Sarkhel, Ritesh  and
Keymanesh, Moniba  and
Nandi, Arnab  and
Parthasarathy, Srinivasan},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.606},
 pages = {6871--6882},
 publisher = {International Committee on Computational Linguistics},
 title = {Interpretable Multi-headed Attention for Abstractive Summarization at Controllable Lengths},
 url = {https://www.aclweb.org/anthology/2020.coling-main.606},
 year = {2020}
}

@inproceedings{schumann-etal-2020-discrete,
 address = {Online},
 author = {Schumann, Raphael  and
Mou, Lili  and
Lu, Yao  and
Vechtomova, Olga  and
Markert, Katja},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.452},
 pages = {5032--5042},
 publisher = {Association for Computational Linguistics},
 title = {Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction},
 url = {https://www.aclweb.org/anthology/2020.acl-main.452},
 year = {2020}
}

@inproceedings{scialom-etal-2019-answers,
 address = {Hong Kong, China},
 author = {Scialom, Thomas  and
Lamprier, Sylvain  and
Piwowarski, Benjamin  and
Staiano, Jacopo},
 booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
 doi = {10.18653/v1/D19-1320},
 pages = {3246--3256},
 publisher = {Association for Computational Linguistics},
 title = {Answers Unite! Unsupervised Metrics for Reinforced Summarization Models},
 url = {https://www.aclweb.org/anthology/D19-1320},
 year = {2019}
}

@inproceedings{see-etal-2017-get,
 address = {Vancouver, Canada},
 author = {See, Abigail  and
Liu, Peter J.  and
Manning, Christopher D.},
 booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
 doi = {10.18653/v1/P17-1099},
 pages = {1073--1083},
 publisher = {Association for Computational Linguistics},
 title = {Get To The Point: Summarization with Pointer-Generator Networks},
 url = {https://www.aclweb.org/anthology/P17-1099},
 year = {2017}
}

@inproceedings{shang-etal-2018-unsupervised,
 address = {Melbourne, Australia},
 author = {Shang, Guokan  and
Ding, Wensi  and
Zhang, Zekun  and
Tixier, Antoine  and
Meladianos, Polykarpos  and
Vazirgiannis, Michalis  and
Lorr{\'e}, Jean-Pierre},
 booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
 doi = {10.18653/v1/P18-1062},
 pages = {664--674},
 publisher = {Association for Computational Linguistics},
 title = {Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization},
 url = {https://www.aclweb.org/anthology/P18-1062},
 year = {2018}
}

@inproceedings{shang-etal-2018-unsupervised,
 address = {Melbourne, Australia},
 author = {Shang, Guokan  and
Ding, Wensi  and
Zhang, Zekun  and
Tixier, Antoine  and
Meladianos, Polykarpos  and
Vazirgiannis, Michalis  and
Lorr{\'e}, Jean-Pierre},
 booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
 doi = {10.18653/v1/P18-1062},
 pages = {664--674},
 publisher = {Association for Computational Linguistics},
 title = {Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization},
 url = {https://www.aclweb.org/anthology/P18-1062},
 year = {2018}
}

@inproceedings{sharma-etal-2019-entity,
 address = {Hong Kong, China},
 author = {Sharma, Eva  and
Huang, Luyang  and
Hu, Zhe  and
Wang, Lu},
 booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
 doi = {10.18653/v1/D19-1323},
 pages = {3280--3291},
 publisher = {Association for Computational Linguistics},
 title = {An Entity-Driven Framework for Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/D19-1323},
 year = {2019}
}

@inproceedings{shi-etal-2019-leafnats,
 address = {Minneapolis, Minnesota},
 author = {Shi, Tian  and
Wang, Ping  and
Reddy, Chandan K.},
 booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics (Demonstrations)},
 doi = {10.18653/v1/N19-4012},
 pages = {66--71},
 publisher = {Association for Computational Linguistics},
 title = {{L}eaf{NATS}: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization},
 url = {https://www.aclweb.org/anthology/N19-4012},
 year = {2019}
}

@inproceedings{song-etal-2020-summarizing,
 address = {Barcelona, Spain (Online)},
 author = {Song, Yan  and
Tian, Yuanhe  and
Wang, Nan  and
Xia, Fei},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.63},
 pages = {717--729},
 publisher = {International Committee on Computational Linguistics},
 title = {Summarizing Medical Conversations via Identifying Important Utterances},
 url = {https://www.aclweb.org/anthology/2020.coling-main.63},
 year = {2020}
}

@inproceedings{suhara-etal-2020-opiniondigest,
 address = {Online},
 author = {Suhara, Yoshihiko  and
Wang, Xiaolan  and
Angelidis, Stefanos  and
Tan, Wang-Chiew},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.513},
 pages = {5789--5798},
 publisher = {Association for Computational Linguistics},
 title = {{O}pinion{D}igest: A Simple Framework for Opinion Summarization},
 url = {https://www.aclweb.org/anthology/2020.acl-main.513},
 year = {2020}
}

@inproceedings{takase-okazaki-2019-positional,
 address = {Minneapolis, Minnesota},
 author = {Takase, Sho  and
Okazaki, Naoaki},
 booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
 doi = {10.18653/v1/N19-1401},
 pages = {3999--4004},
 publisher = {Association for Computational Linguistics},
 title = {Positional Encoding to Control Output Sequence Length},
 url = {https://www.aclweb.org/anthology/N19-1401},
 year = {2019}
}

@inproceedings{tan-etal-2017-abstractive,
 address = {Vancouver, Canada},
 author = {Tan, Jiwei  and
Wan, Xiaojun  and
Xiao, Jianguo},
 booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
 doi = {10.18653/v1/P17-1108},
 pages = {1171--1181},
 publisher = {Association for Computational Linguistics},
 title = {Abstractive Document Summarization with a Graph-Based Attentional Neural Model},
 url = {https://www.aclweb.org/anthology/P17-1108},
 year = {2017}
}

@inproceedings{tan-etal-2017-abstractive,
 address = {Vancouver, Canada},
 author = {Tan, Jiwei  and
Wan, Xiaojun  and
Xiao, Jianguo},
 booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
 doi = {10.18653/v1/P17-1108},
 pages = {1171--1181},
 publisher = {Association for Computational Linguistics},
 title = {Abstractive Document Summarization with a Graph-Based Attentional Neural Model},
 url = {https://www.aclweb.org/anthology/P17-1108},
 year = {2017}
}

@inproceedings{tan-etal-2020-summarizing,
 address = {Online},
 author = {Tan, Bowen  and
Qin, Lianhui  and
Xing, Eric  and
Hu, Zhiting},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.510},
 pages = {6301--6309},
 publisher = {Association for Computational Linguistics},
 title = {Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.510},
 year = {2020}
}

@inproceedings{wan-2011-using,
 address = {Portland, Oregon, USA},
 author = {Wan, Xiaojun},
 booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},
 pages = {1546--1555},
 publisher = {Association for Computational Linguistics},
 title = {Using Bilingual Information for Cross-Language Document Summarization},
 url = {https://www.aclweb.org/anthology/P11-1155},
 year = {2011}
}

@inproceedings{wan-etal-2010-cross,
 address = {Uppsala, Sweden},
 author = {Wan, Xiaojun  and
Li, Huiying  and
Xiao, Jianguo},
 booktitle = {Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics},
 pages = {917--926},
 publisher = {Association for Computational Linguistics},
 title = {Cross-Language Document Summarization Based on Machine Translation Quality Prediction},
 url = {https://www.aclweb.org/anthology/P10-1094},
 year = {2010}
}

@inproceedings{wang-etal-2019-biset,
 address = {Florence, Italy},
 author = {Wang, Kai  and
Quan, Xiaojun  and
Wang, Rui},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1207},
 pages = {2153--2162},
 publisher = {Association for Computational Linguistics},
 title = {{B}i{SET}: Bi-directional Selective Encoding with Template for Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/P19-1207},
 year = {2019}
}

@inproceedings{wang-etal-2019-concept,
 address = {Hong Kong, China},
 author = {Wang, Wenbo  and
Gao, Yang  and
Huang, Heyan  and
Zhou, Yuxiang},
 booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
 doi = {10.18653/v1/D19-1304},
 pages = {3076--3085},
 publisher = {Association for Computational Linguistics},
 title = {Concept Pointer Network for Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/D19-1304},
 year = {2019}
}

@inproceedings{wang-etal-2019-self,
 address = {Florence, Italy},
 author = {Wang, Hong  and
Wang, Xin  and
Xiong, Wenhan  and
Yu, Mo  and
Guo, Xiaoxiao  and
Chang, Shiyu  and
Wang, William Yang},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1214},
 pages = {2221--2227},
 publisher = {Association for Computational Linguistics},
 title = {Self-Supervised Learning for Contextualized Extractive Summarization},
 url = {https://www.aclweb.org/anthology/P19-1214},
 year = {2019}
}

@inproceedings{wang-etal-2020-asking,
 address = {Online},
 author = {Wang, Alex  and
Cho, Kyunghyun  and
Lewis, Mike},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.450},
 pages = {5008--5020},
 publisher = {Association for Computational Linguistics},
 title = {Asking and Answering Questions to Evaluate the Factual Consistency of Summaries},
 url = {https://www.aclweb.org/anthology/2020.acl-main.450},
 year = {2020}
}

@inproceedings{wang-etal-2020-friendly,
 address = {Online},
 author = {Wang, Zhengjue  and
Duan, Zhibin  and
Zhang, Hao  and
Wang, Chaojie  and
Tian, Long  and
Chen, Bo  and
Zhou, Mingyuan},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.35},
 pages = {485--497},
 publisher = {Association for Computational Linguistics},
 title = {Friendly Topic Assistant for Transformer Based Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.35},
 year = {2020}
}

@inproceedings{wang-etal-2020-heterogeneous,
 address = {Online},
 author = {Wang, Danqing  and
Liu, Pengfei  and
Zheng, Yining  and
Qiu, Xipeng  and
Huang, Xuanjing},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.553},
 pages = {6209--6219},
 publisher = {Association for Computational Linguistics},
 title = {Heterogeneous Graph Neural Networks for Extractive Document Summarization},
 url = {https://www.aclweb.org/anthology/2020.acl-main.553},
 year = {2020}
}

@inproceedings{wang-etal-2020-heterogeneous,
 address = {Online},
 author = {Wang, Danqing  and
Liu, Pengfei  and
Zheng, Yining  and
Qiu, Xipeng  and
Huang, Xuanjing},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.553},
 pages = {6209--6219},
 publisher = {Association for Computational Linguistics},
 title = {Heterogeneous Graph Neural Networks for Extractive Document Summarization},
 url = {https://www.aclweb.org/anthology/2020.acl-main.553},
 year = {2020}
}

@inproceedings{wang-lee-2018-learning,
 address = {Brussels, Belgium},
 author = {Wang, Yaushian  and
Lee, Hung-Yi},
 booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
 doi = {10.18653/v1/D18-1451},
 pages = {4187--4195},
 publisher = {Association for Computational Linguistics},
 title = {Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks},
 url = {https://www.aclweb.org/anthology/D18-1451},
 year = {2018}
}

@inproceedings{west-etal-2019-bottlesum,
 address = {Hong Kong, China},
 author = {West, Peter  and
Holtzman, Ari  and
Buys, Jan  and
Choi, Yejin},
 booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
 doi = {10.18653/v1/D19-1389},
 pages = {3752--3761},
 publisher = {Association for Computational Linguistics},
 title = {{B}ottle{S}um: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle},
 url = {https://www.aclweb.org/anthology/D19-1389},
 year = {2019}
}

@inproceedings{wu-etal-2020-unsupervised,
 address = {Online},
 author = {Wu, Hanlu  and
Ma, Tengfei  and
Wu, Lingfei  and
Manyumwa, Tariro  and
Ji, Shouling},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.294},
 pages = {3612--3621},
 publisher = {Association for Computational Linguistics},
 title = {Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.294},
 year = {2020}
}

@inproceedings{xiao-carenini-2019-extractive,
 address = {Hong Kong, China},
 author = {Xiao, Wen  and
Carenini, Giuseppe},
 booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
 doi = {10.18653/v1/D19-1298},
 pages = {3011--3021},
 publisher = {Association for Computational Linguistics},
 title = {Extractive Summarization of Long Documents by Combining Global and Local Context},
 url = {https://www.aclweb.org/anthology/D19-1298},
 year = {2019}
}

@inproceedings{xiao-carenini-2020-systematically,
 address = {Suzhou, China},
 author = {Xiao, Wen  and
Carenini, Giuseppe},
 booktitle = {Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing},
 pages = {516--528},
 publisher = {Association for Computational Linguistics},
 title = {Systematically Exploring Redundancy Reduction in Summarizing Long Documents},
 url = {https://www.aclweb.org/anthology/2020.aacl-main.51},
 year = {2020}
}

@inproceedings{xiao-etal-2020-really,
 address = {Online},
 author = {Xiao, Wen  and
Huber, Patrick  and
Carenini, Giuseppe},
 booktitle = {Proceedings of the First Workshop on Computational Approaches to Discourse},
 doi = {10.18653/v1/2020.codi-1.13},
 pages = {124--134},
 publisher = {Association for Computational Linguistics},
 title = {Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help !},
 url = {https://www.aclweb.org/anthology/2020.codi-1.13},
 year = {2020}
}

@inproceedings{xu-durrett-2019-neural,
 address = {Hong Kong, China},
 author = {Xu, Jiacheng  and
Durrett, Greg},
 booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
 doi = {10.18653/v1/D19-1324},
 pages = {3292--3303},
 publisher = {Association for Computational Linguistics},
 title = {Neural Extractive Text Summarization with Syntactic Compression},
 url = {https://www.aclweb.org/anthology/D19-1324},
 year = {2019}
}

@inproceedings{xu-etal-2020-mixed,
 address = {Suzhou, China},
 author = {Xu, Ruochen  and
Zhu, Chenguang  and
Shi, Yu  and
Zeng, Michael  and
Huang, Xuedong},
 booktitle = {Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing},
 pages = {536--541},
 publisher = {Association for Computational Linguistics},
 title = {Mixed-Lingual Pre-training for Cross-lingual Summarization},
 url = {https://www.aclweb.org/anthology/2020.aacl-main.53},
 year = {2020}
}

@inproceedings{xu-etal-2020-understanding-neural,
 address = {Online},
 author = {Xu, Jiacheng  and
Desai, Shrey  and
Durrett, Greg},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.508},
 pages = {6275--6281},
 publisher = {Association for Computational Linguistics},
 title = {Understanding Neural Abstractive Summarization Models via Uncertainty},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.508},
 year = {2020}
}

@inproceedings{xu-etal-2020-unsupervised,
 address = {Online},
 author = {Xu, Shusheng  and
Zhang, Xingxing  and
Wu, Yi  and
Wei, Furu  and
Zhou, Ming},
 booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2020},
 doi = {10.18653/v1/2020.findings-emnlp.161},
 pages = {1784--1795},
 publisher = {Association for Computational Linguistics},
 title = {Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers},
 url = {https://www.aclweb.org/anthology/2020.findings-emnlp.161},
 year = {2020}
}

@inproceedings{xu-lapata-2020-coarse,
 address = {Online},
 author = {Xu, Yumo  and
Lapata, Mirella},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.296},
 pages = {3632--3645},
 publisher = {Association for Computational Linguistics},
 title = {Coarse-to-Fine Query Focused Multi-Document Summarization},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.296},
 year = {2020}
}

@inproceedings{yang-etal-2020-making,
 address = {Barcelona, Spain (Online)},
 author = {Yang, Sen  and
Cui, Leyang  and
Xie, Jun  and
Zhang, Yue},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.15},
 pages = {173--184},
 publisher = {International Committee on Computational Linguistics},
 title = {Making the Best Use of Review Summary for Sentiment Analysis},
 url = {https://www.aclweb.org/anthology/2020.coling-main.15},
 year = {2020}
}

@inproceedings{yang-etal-2020-ted,
 address = {Online},
 author = {Yang, Ziyi  and
Zhu, Chenguang  and
Gmyr, Robert  and
Zeng, Michael  and
Huang, Xuedong  and
Darve, Eric},
 booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2020},
 doi = {10.18653/v1/2020.findings-emnlp.168},
 pages = {1865--1874},
 publisher = {Association for Computational Linguistics},
 title = {{TED}: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising},
 url = {https://www.aclweb.org/anthology/2020.findings-emnlp.168},
 year = {2020}
}

@inproceedings{yao-etal-2015-phrase,
 address = {Lisbon, Portugal},
 author = {Yao, Jin-ge  and
Wan, Xiaojun  and
Xiao, Jianguo},
 booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing},
 doi = {10.18653/v1/D15-1012},
 pages = {118--127},
 publisher = {Association for Computational Linguistics},
 title = {Phrase-based Compressive Cross-Language Summarization},
 url = {https://www.aclweb.org/anthology/D15-1012},
 year = {2015}
}

@inproceedings{yasunaga-etal-2017-graph,
 address = {Vancouver, Canada},
 author = {Yasunaga, Michihiro  and
Zhang, Rui  and
Meelu, Kshitijh  and
Pareek, Ayush  and
Srinivasan, Krishnan  and
Radev, Dragomir},
 booktitle = {Proceedings of the 21st Conference on Computational Natural Language Learning ({C}o{NLL} 2017)},
 doi = {10.18653/v1/K17-1045},
 pages = {452--462},
 publisher = {Association for Computational Linguistics},
 title = {Graph-based Neural Multi-Document Summarization},
 url = {https://www.aclweb.org/anthology/K17-1045},
 year = {2017}
}

@inproceedings{yasunaga-etal-2017-graph,
 address = {Vancouver, Canada},
 author = {Yasunaga, Michihiro  and
Zhang, Rui  and
Meelu, Kshitijh  and
Pareek, Ayush  and
Srinivasan, Krishnan  and
Radev, Dragomir},
 booktitle = {Proceedings of the 21st Conference on Computational Natural Language Learning ({C}o{NLL} 2017)},
 doi = {10.18653/v1/K17-1045},
 pages = {452--462},
 publisher = {Association for Computational Linguistics},
 title = {Graph-based Neural Multi-Document Summarization},
 url = {https://www.aclweb.org/anthology/K17-1045},
 year = {2017}
}

@inproceedings{yim-etal-2020-alignment,
 address = {Marseille, France},
 author = {Yim, Wen-wai  and
Yetisgen, Meliha  and
Huang, Jenny  and
Grossman, Micah},
 booktitle = {Proceedings of the 12th Language Resources and Evaluation Conference},
 isbn = {979-10-95546-34-4},
 language = {English},
 pages = {413--421},
 publisher = {European Language Resources Association},
 title = {Alignment Annotation for Clinic Visit Dialogue to Clinical Note Sentence Language Generation},
 url = {https://www.aclweb.org/anthology/2020.lrec-1.52},
 year = {2020}
}

@inproceedings{you-etal-2019-improving,
 address = {Florence, Italy},
 author = {You, Yongjian  and
Jia, Weijia  and
Liu, Tianyi  and
Yang, Wenmian},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1205},
 pages = {2132--2141},
 publisher = {Association for Computational Linguistics},
 title = {Improving Abstractive Document Summarization with Salient Information Modeling},
 url = {https://www.aclweb.org/anthology/P19-1205},
 year = {2019}
}

@inproceedings{yuan-etal-2020-fact,
 address = {Barcelona, Spain (Online)},
 author = {Yuan, Ruifeng  and
Wang, Zili  and
Li, Wenjie},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.493},
 pages = {5629--5639},
 publisher = {International Committee on Computational Linguistics},
 title = {Fact-level Extractive Summarization with Hierarchical Graph Mask on {BERT}},
 url = {https://www.aclweb.org/anthology/2020.coling-main.493},
 year = {2020}
}

@inproceedings{yuan-etal-2020-faithfulness,
 address = {Barcelona, Spain (Online)},
 author = {Yuan, Peng  and
Li, Haoran  and
Xu, Song  and
Wu, Youzheng  and
He, Xiaodong  and
Zhou, Bowen},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.502},
 pages = {5712--5717},
 publisher = {International Committee on Computational Linguistics},
 title = {On the Faithfulness for {E}-commerce Product Summarization},
 url = {https://www.aclweb.org/anthology/2020.coling-main.502},
 year = {2020}
}

@inproceedings{zhang-etal-2018-neural,
 address = {Brussels, Belgium},
 author = {Zhang, Xingxing  and
Lapata, Mirella  and
Wei, Furu  and
Zhou, Ming},
 booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
 doi = {10.18653/v1/D18-1088},
 pages = {779--784},
 publisher = {Association for Computational Linguistics},
 title = {Neural Latent Extractive Document Summarization},
 url = {https://www.aclweb.org/anthology/D18-1088},
 year = {2018}
}

@inproceedings{zhang-etal-2019-hibert,
 address = {Florence, Italy},
 author = {Zhang, Xingxing  and
Wei, Furu  and
Zhou, Ming},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1499},
 pages = {5059--5069},
 publisher = {Association for Computational Linguistics},
 title = {{HIBERT}: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization},
 url = {https://www.aclweb.org/anthology/P19-1499},
 year = {2019}
}

@inproceedings{zhang-etal-2019-pretraining,
 address = {Hong Kong, China},
 author = {Zhang, Haoyu  and
Cai, Jingjing  and
Xu, Jianjun  and
Wang, Ji},
 booktitle = {Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)},
 doi = {10.18653/v1/K19-1074},
 pages = {789--797},
 publisher = {Association for Computational Linguistics},
 title = {Pretraining-Based Natural Language Generation for Text Summarization},
 url = {https://www.aclweb.org/anthology/K19-1074},
 year = {2019}
}

@inproceedings{zhang-etal-2020-optimizing,
 address = {Online},
 author = {Zhang, Yuhao  and
Merck, Derek  and
Tsai, Emily  and
Manning, Christopher D.  and
Langlotz, Curtis},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.458},
 pages = {5108--5120},
 publisher = {Association for Computational Linguistics},
 title = {Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports},
 url = {https://www.aclweb.org/anthology/2020.acl-main.458},
 year = {2020}
}

@inproceedings{zhang-etal-2020-summarizing,
 address = {Online},
 author = {Zhang, Ningyu  and
Deng, Shumin  and
Li, Juan  and
Chen, Xi  and
Zhang, Wei  and
Chen, Huajun},
 booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2020},
 doi = {10.18653/v1/2020.findings-emnlp.2},
 pages = {15--24},
 publisher = {Association for Computational Linguistics},
 title = {Summarizing {C}hinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention},
 url = {https://www.aclweb.org/anthology/2020.findings-emnlp.2},
 year = {2020}
}

@inproceedings{zhao-etal-2020-improving,
 address = {Barcelona, Spain (Online)},
 author = {Zhao, Lulu  and
Xu, Weiran  and
Guo, Jun},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.39},
 pages = {437--449},
 publisher = {International Committee on Computational Linguistics},
 title = {Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words},
 url = {https://www.aclweb.org/anthology/2020.coling-main.39},
 year = {2020}
}

@inproceedings{zhao-etal-2020-reducing,
 address = {Online},
 author = {Zhao, Zheng  and
Cohen, Shay B.  and
Webber, Bonnie},
 booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2020},
 doi = {10.18653/v1/2020.findings-emnlp.203},
 pages = {2237--2249},
 publisher = {Association for Computational Linguistics},
 title = {Reducing Quantity Hallucinations in Abstractive Summarization},
 url = {https://www.aclweb.org/anthology/2020.findings-emnlp.203},
 year = {2020}
}

@inproceedings{zheng-etal-2020-controllable,
 address = {Barcelona, Spain (Online)},
 author = {Zheng, Changmeng  and
Cai, Yi  and
Zhang, Guanjie  and
Li, Qing},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.497},
 pages = {5668--5678},
 publisher = {International Committee on Computational Linguistics},
 title = {Controllable Abstractive Sentence Summarization with Guiding Entities},
 url = {https://www.aclweb.org/anthology/2020.coling-main.497},
 year = {2020}
}

@inproceedings{zheng-lapata-2019-sentence,
 address = {Florence, Italy},
 author = {Zheng, Hao  and
Lapata, Mirella},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1628},
 pages = {6236--6247},
 publisher = {Association for Computational Linguistics},
 title = {Sentence Centrality Revisited for Unsupervised Summarization},
 url = {https://www.aclweb.org/anthology/P19-1628},
 year = {2019}
}

@inproceedings{zhong-etal-2019-closer,
 address = {Hong Kong, China},
 author = {Zhong, Ming  and
Wang, Danqing  and
Liu, Pengfei  and
Qiu, Xipeng  and
Huang, Xuanjing},
 booktitle = {Proceedings of the 2nd Workshop on New Frontiers in Summarization},
 doi = {10.18653/v1/D19-5410},
 pages = {80--89},
 publisher = {Association for Computational Linguistics},
 title = {A Closer Look at Data Bias in Neural Extractive Summarization Models},
 url = {https://www.aclweb.org/anthology/D19-5410},
 year = {2019}
}

@inproceedings{zhong-etal-2019-searching,
 address = {Florence, Italy},
 author = {Zhong, Ming  and
Liu, Pengfei  and
Wang, Danqing  and
Qiu, Xipeng  and
Huang, Xuanjing},
 booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/P19-1100},
 pages = {1049--1058},
 publisher = {Association for Computational Linguistics},
 title = {Searching for Effective Neural Extractive Summarization: What Works and What{'}s Next},
 url = {https://www.aclweb.org/anthology/P19-1100},
 year = {2019}
}

@inproceedings{zhong-etal-2020-extractive,
 address = {Online},
 author = {Zhong, Ming  and
Liu, Pengfei  and
Chen, Yiran  and
Wang, Danqing  and
Qiu, Xipeng  and
Huang, Xuanjing},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.552},
 pages = {6197--6208},
 publisher = {Association for Computational Linguistics},
 title = {Extractive Summarization as Text Matching},
 url = {https://www.aclweb.org/anthology/2020.acl-main.552},
 year = {2020}
}

@inproceedings{zhou-etal-2017-selective,
 address = {Vancouver, Canada},
 author = {Zhou, Qingyu  and
Yang, Nan  and
Wei, Furu  and
Zhou, Ming},
 booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
 doi = {10.18653/v1/P17-1101},
 pages = {1095--1104},
 publisher = {Association for Computational Linguistics},
 title = {Selective Encoding for Abstractive Sentence Summarization},
 url = {https://www.aclweb.org/anthology/P17-1101},
 year = {2017}
}

@inproceedings{zhou-etal-2018-neural-document,
 address = {Melbourne, Australia},
 author = {Zhou, Qingyu  and
Yang, Nan  and
Wei, Furu  and
Huang, Shaohan  and
Zhou, Ming  and
Zhao, Tiejun},
 booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
 doi = {10.18653/v1/P18-1061},
 pages = {654--663},
 publisher = {Association for Computational Linguistics},
 title = {Neural Document Summarization by Jointly Learning to Score and Select Sentences},
 url = {https://www.aclweb.org/anthology/P18-1061},
 year = {2018}
}

@inproceedings{zhou-etal-2020-level,
 address = {Barcelona, Spain (Online)},
 author = {Zhou, Qingyu  and
Wei, Furu  and
Zhou, Ming},
 booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
 doi = {10.18653/v1/2020.coling-main.492},
 pages = {5617--5628},
 publisher = {International Committee on Computational Linguistics},
 title = {At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization},
 url = {https://www.aclweb.org/anthology/2020.coling-main.492},
 year = {2020}
}

@inproceedings{zhu-etal-2018-msmo,
 address = {Brussels, Belgium},
 author = {Zhu, Junnan  and
Li, Haoran  and
Liu, Tianshang  and
Zhou, Yu  and
Zhang, Jiajun  and
Zong, Chengqing},
 booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
 doi = {10.18653/v1/D18-1448},
 pages = {4154--4164},
 publisher = {Association for Computational Linguistics},
 title = {{MSMO}: Multimodal Summarization with Multimodal Output},
 url = {https://www.aclweb.org/anthology/D18-1448},
 year = {2018}
}

@inproceedings{zhu-etal-2019-ncls,
 address = {Hong Kong, China},
 author = {Zhu, Junnan  and
Wang, Qian  and
Wang, Yining  and
Zhou, Yu  and
Zhang, Jiajun  and
Wang, Shaonan  and
Zong, Chengqing},
 booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
 doi = {10.18653/v1/D19-1302},
 pages = {3054--3064},
 publisher = {Association for Computational Linguistics},
 title = {{NCLS}: Neural Cross-Lingual Summarization},
 url = {https://www.aclweb.org/anthology/D19-1302},
 year = {2019}
}

@inproceedings{zhu-etal-2020-attend,
 address = {Online},
 author = {Zhu, Junnan  and
Zhou, Yu  and
Zhang, Jiajun  and
Zong, Chengqing},
 booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
 doi = {10.18653/v1/2020.acl-main.121},
 pages = {1309--1321},
 publisher = {Association for Computational Linguistics},
 title = {Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization},
 url = {https://www.aclweb.org/anthology/2020.acl-main.121},
 year = {2020}
}

@inproceedings{zhu-etal-2020-hierarchical,
 address = {Online},
 author = {Zhu, Chenguang  and
Xu, Ruochen  and
Zeng, Michael  and
Huang, Xuedong},
 booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2020},
 doi = {10.18653/v1/2020.findings-emnlp.19},
 pages = {194--203},
 publisher = {Association for Computational Linguistics},
 title = {A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining},
 url = {https://www.aclweb.org/anthology/2020.findings-emnlp.19},
 year = {2020}
}

@inproceedings{zou-etal-2020-pre,
 address = {Online},
 author = {Zou, Yanyan  and
Zhang, Xingxing  and
Lu, Wei  and
Wei, Furu  and
Zhou, Ming},
 booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
 doi = {10.18653/v1/2020.emnlp-main.297},
 pages = {3646--3660},
 publisher = {Association for Computational Linguistics},
 title = {Pre-training for Abstractive Document Summarization by Reinstating Source Text},
 url = {https://www.aclweb.org/anthology/2020.emnlp-main.297},
 year = {2020}
}

@article{Liu2020GLGEAN,
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@article{Syed2021ASO,
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@article{Altmami2020AutomaticSO,
  title={Automatic summarization of scientific articles: A survey},
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@article{Li2019ReadWL,
  title={Read, Watch, Listen, and Summarize: Multi-Modal Summarization for Asynchronous Text, Image, Audio and Video},
  author={Haoran Li and Junnan Zhu and C. Ma and Jiajun Zhang and Chengqing Zong},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2019},
  volume={31},
  pages={996-1009}
}

@article{Nihei2018FusingVA,
  title={Fusing Verbal and Nonverbal Information for Extractive Meeting Summarization},
  author={Fumio Nihei and Y. Nakano and Yutaka Takase},
  journal={Proceedings of the Group Interaction Frontiers in Technology},
  year={2018}
}

@article{Nihei2016MeetingEF,
  title={Meeting extracts for discussion summarization based on multimodal nonverbal information},
  author={Fumio Nihei and Y. Nakano and Yutaka Takase},
  journal={Proceedings of the 18th ACM International Conference on Multimodal Interaction},
  year={2016}
}

@article{Tjondronegoro2011MultimodalSO,
  title={Multi-modal summarization of key events and top players in sports tournament videos},
  author={D. Tjondronegoro and Xiaohui Tao and Johannes Sasongko and C. Lau},
  journal={2011 IEEE Workshop on Applications of Computer Vision (WACV)},
  year={2011},
  pages={471-478}
}

@inproceedings{UzZaman2011MultimodalSO,
  title={Multimodal summarization of complex sentences},
  author={N. UzZaman and Jeffrey P. Bigham and James F. Allen},
  booktitle={IUI '11},
  year={2011}
}

@article{Erol2003MultimodalSO,
  title={Multimodal summarization of meeting recordings},
  author={B. Erol and Dar-Shyang Lee and J. Hull},
  journal={2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)},
  year={2003},
  volume={3},
  pages={III-25}
}

@article{Amplayo2020UnsupervisedOS,
  title={Unsupervised Opinion Summarization with Content Planning},
  author={Reinald Kim Amplayo and Stefanos Angelidis and M. Lapata},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.07808}
}

@article{Angelidis2020ExtractiveOS,
  title={Extractive Opinion Summarization in Quantized Transformer Spaces},
  author={Stefanos Angelidis and Reinald Kim Amplayo and Yoshihiko Suhara and Xiaolan Wang and Mirella Lapata},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.04443}
}

@article{Zhao2020WeaklySupervisedOS,
  title={Weakly-Supervised Opinion Summarization by Leveraging External Information},
  author={Chao Zhao and S. Chaturvedi},
  journal={ArXiv},
  year={2020},
  volume={abs/1911.09844}
}

@article{Stiennon2020LearningTS,
  title={Learning to summarize from human feedback},
  author={Nisan Stiennon and L. Ouyang and Jeff Wu and Daniel M. Ziegler and Ryan J. Lowe and Chelsea Voss and A. Radford and Dario Amodei and Paul Christiano},
  journal={ArXiv},
  year={2020},
  volume={abs/2009.01325}
}

@article{Cao2021InferenceTS,
  title={Inference Time Style Control for Summarization},
  author={Shuyang Cao and Lu Wang},
  journal={ArXiv},
  year={2021},
  volume={abs/2104.01724}
}

@article{He2020CTRLsumTG,
  title={CTRLsum: Towards Generic Controllable Text Summarization},
  author={Junxian He and Wojciech Kryscinski and Bryan McCann and Nazneen Rajani and Caiming Xiong},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.04281}
}

@article{Saito2020LengthcontrollableAS,
  title={Length-controllable Abstractive Summarization by Guiding with Summary Prototype},
  author={Itsumi Saito and Kyosuke Nishida and Kosuke Nishida and A. Otsuka and H. Asano and J. Tomita and Hiroyuki Shindo and Y. Matsumoto},
  journal={ArXiv},
  year={2020},
  volume={abs/2001.07331}
}

@article{Baumel2018QueryFA,
  title={Query Focused Abstractive Summarization: Incorporating Query Relevance, Multi-Document Coverage, and Summary Length Constraints into seq2seq Models},
  author={Tal Baumel and Matan Eyal and Michael Elhadad},
  journal={ArXiv},
  year={2018},
  volume={abs/1801.07704}
}

@article{Padmakumar2021UnsupervisedES,
  title={Unsupervised Extractive Summarization using Pointwise Mutual Information},
  author={Vishakh Padmakumar and He He},
  journal={ArXiv},
  year={2021},
  volume={abs/2102.06272}
}

@article{Sun2020SummarizeOA,
  title={Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries},
  author={Xiaofei Sun and C. Fan and Zijun Sun and Yuxian Meng and Fei Wu and J. Li},
  journal={ArXiv},
  year={2020},
  volume={abs/2010.07074}
}

@article{Xu2019DiscourseAwareNE,
  title={Discourse-Aware Neural Extractive Model for Text Summarization},
  author={Jiacheng Xu and Zhe Gan and Yu Cheng and Jingjing Liu},
  journal={ArXiv},
  year={2019},
  volume={abs/1910.14142}
}

@article{Cao2021AttentionHM,
  title={Attention Head Masking for Inference Time Content Selection in Abstractive Summarization},
  author={Shuyang Cao and Lu Wang},
  journal={ArXiv},
  year={2021},
  volume={abs/2104.02205}
}

@article{Song2021ANA,
  title={A New Approach to Overgenerating and Scoring Abstractive Summaries},
  author={Kaiqiang Song and Bingqing Wang and Zhe Feng and Fei Liu},
  journal={ArXiv},
  year={2021},
  volume={abs/2104.01726}
}

@article{Haonan2020ExploringES,
  title={Exploring Explainable Selection to Control Abstractive Summarization},
  author={Wang Haonan and Gao Yang and B. Yu and M. Lapata and Huang Heyan},
  journal={arXiv: Computation and Language},
  year={2020}
}

@article{MohanBharath2021NeuralAT,
  title={Neural Abstractive Text Summarizer for Telugu Language},
  author={B. MohanBharath and B. AravindhGowtham and M. Akhil},
  journal={ArXiv},
  year={2021},
  volume={abs/2101.07120}
}

@article{Zheng2020TopicAwareAT,
  title={Topic-Aware Abstractive Text Summarization},
  author={Chujie Zheng and Kunpeng Zhang and H. Wang and Ling Fan},
  journal={ArXiv},
  year={2020},
  volume={abs/2010.10323}
}

@inproceedings{Song2020ControllingTA,
  title={Controlling the Amount of Verbatim Copying in Abstractive Summarization},
  author={Kaiqiang Song and Bingqing Wang and Zhe Feng and Liu Ren and Fei Liu},
  booktitle={AAAI},
  year={2020}
}

@article{Weng2020GRETGR,
  title={GRET: Global Representation Enhanced Transformer},
  author={Rongxiang Weng and Hao-Ran Wei and Shujian Huang and Heng Yu and Lidong Bing and Weihua Luo and Jiajun Chen},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.10101}
}

@article{Savelieva2020AbstractiveSO,
  title={Abstractive Summarization of Spoken and Written Instructions with BERT},
  author={A. Savelieva and B. Auyeung and Vasanth Ramani},
  journal={ArXiv},
  year={2020},
  volume={abs/2008.09676}
}

@article{Gabriel2019CooperativeGN,
  title={Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow},
  author={Saadia Gabriel and Antoine Bosselut and Ari Holtzman and Kyle Lo and A. Çelikyilmaz and Yejin Choi},
  journal={ArXiv},
  year={2019},
  volume={abs/1907.01272}
}

@inproceedings{Wan2018AbstractiveDS,
  title={Abstractive Document Summarization via Bidirectional Decoder},
  author={Xin Wan and Chen Li and R. Wang and Ding Xiao and Chuan Shi},
  booktitle={ADMA},
  year={2018}
}

@article{Bao2021ContextualizedRF,
  title={Contextualized Rewriting for Text Summarization},
  author={Guangsheng Bao and Yue Zhang},
  journal={ArXiv},
  year={2021},
  volume={abs/2102.00385}
}

@article{Papalampidi2020MovieSV,
  title={Movie Summarization via Sparse Graph Construction},
  author={Pinelopi Papalampidi and Frank Keller and M. Lapata},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.07536}
}

@article{Vasilyev2020IsHS,
  title={Is human scoring the best criteria for summary evaluation?},
  author={Oleg V. Vasilyev and John Bohannon},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.14602}
}

@article{Song2020JointPA,
  title={Joint Parsing and Generation for Abstractive Summarization},
  author={Kaiqiang Song and Logan Lebanoff and Q. Guo and Xipeng Qiu and X. Xue and Chen Li and Dong Yu and Fei Liu},
  journal={ArXiv},
  year={2020},
  volume={abs/1911.10389}
}

@article{Yu2021AdaptSumTL,
  title={AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization},
  author={Tiezheng Yu and Zihan Liu and Pascale Fung},
  journal={ArXiv},
  year={2021},
  volume={abs/2103.11332}
}

@article{Fabbri2020SummEvalRS,
  title={SummEval: Re-evaluating Summarization Evaluation},
  author={A. R. Fabbri and Wojciech Kryscinski and Bryan McCann and R. Socher and Dragomir Radev},
  journal={ArXiv},
  year={2020},
  volume={abs/2007.12626}
}

@article{Chen2021MetaTransferLF,
  title={Meta-Transfer Learning for Low-Resource Abstractive Summarization},
  author={Y. Chen and Hong-Han Shuai},
  journal={ArXiv},
  year={2021},
  volume={abs/2102.09397}
}

@inproceedings{Ott2019fairseqAF,
  title={fairseq: A Fast, Extensible Toolkit for Sequence Modeling},
  author={Myle Ott and Sergey Edunov and Alexei Baevski and Angela Fan and S. Gross and Nathan Ng and David Grangier and M. Auli},
  booktitle={NAACL-HLT},
  year={2019}
}

@article{Klein2017OpenNMTOT,
  title={OpenNMT: Open-Source Toolkit for Neural Machine Translation},
  author={G. Klein and Yoon Kim and Y. Deng and Jean Senellart and Alexander M. Rush},
  journal={ArXiv},
  year={2017},
  volume={abs/1701.02810}
}

@article{Lee2020ContrastiveLW,
  title={Contrastive Learning with Adversarial Perturbations for Conditional Text Generation},
  author={Seanie Lee and D. Lee and Sung Ju Hwang},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.07280}
}

@article{Ganesh2019RestructuringCU,
  title={Restructuring Conversations using Discourse Relations for Zero-shot Abstractive Dialogue Summarization.},
  author={Prakhar Ganesh and Saket Dingliwal},
  journal={arXiv: Computation and Language},
  year={2019}
}

@article{Liao2020ImprovingAT,
  title={Improving Abstractive Text Summarization with History Aggregation},
  author={Pengcheng Liao and Chuang Zhang and Xiaojun Chen and Xiaofei Zhou},
  journal={2020 International Joint Conference on Neural Networks (IJCNN)},
  year={2020},
  pages={1-9}
}

@article{Liu2020UnderstandingAI,
  title={Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning},
  author={Xuebo Liu and Longyue Wang and Derek F. Wong and Liang Ding and Lidia S. Chao and Zhaopeng Tu},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.14768}
}

@article{Xu2020AbstractiveQF,
  title={Abstractive Query Focused Summarization with Query-Free Resources},
  author={Yumo Xu and Mirella Lapata},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.14774}
}

@article{Koto2020FFCIAF,
  title={FFCI: A Framework for Interpretable Automatic Evaluation of Summarization},
  author={Fajri Koto and Jey Han Lau and Timothy Baldwin},
  journal={ArXiv},
  year={2020},
  volume={abs/2011.13662}
}

@article{Steen2021HowTE,
  title={How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation},
  author={Julius Steen and K. Markert},
  journal={ArXiv},
  year={2021},
  volume={abs/2101.11298}
}

@article{Vasilyev2020IsHS,
  title={Is human scoring the best criteria for summary evaluation?},
  author={Oleg V. Vasilyev and John Bohannon},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.14602}
}

@article{Egan2021PlayTS,
  title={Play the Shannon Game With Language Models: A Human-Free Approach to Summary Evaluation},
  author={Nicholas Egan and Oleg V. Vasilyev and John Bohannon},
  journal={ArXiv},
  year={2021},
  volume={abs/2103.10918}
}

@article{Deutsch2020TowardsQA,
  title={Towards Question-Answering as an Automatic Metric for Evaluating the Content Quality of a Summary},
  author={Daniel Deutsch and Tania Bedrax-Weiss and D. Roth},
  journal={ArXiv},
  year={2020},
  volume={abs/2010.00490}
}

@article{Balachandran2020StructSumIL,
  title={StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization},
  author={Vidhisha Balachandran and Artidoro Pagnoni and Jay Yoon Lee and Dheeraj Rajagopal and J. Carbonell and Yulia Tsvetkov},
  journal={ArXiv},
  year={2020},
  volume={abs/2003.00576}
}

@inproceedings{Liu2021RefSumRN,
  title={RefSum: Refactoring Neural Summarization},
  author={Yixin Liu and Zi-Yi Dou and Pengfei Liu},
  year={2021}
}

@inproceedings{Liu2021EXPLAINABOARDAE,
  title={EXPLAINABOARD: An Explainable Leaderboard for NLP},
  author={Pengfei Liu and Jinlan Fu and Yang Xiao and Weizhe Yuan and Shuaicheng Chang and Junqi Dai and Yixin Liu and Zihuiwen Ye and Graham Neubig},
  year={2021}
}

@inproceedings{DeYoung2021MS2MS,
  title={MS2: Multi-Document Summarization of Medical Studies},
  author={Jay DeYoung and Iz Beltagy and Madeleine van Zuylen and Bailey Kuehl and Lucy Lu Wang},
  year={2021}
}

@inproceedings{Chen2021SummScreenAD,
  title={SummScreen: A Dataset for Abstractive Screenplay Summarization},
  author={Mingda Chen and Zewei Chu and Sam Wiseman and Kevin Gimpel},
  year={2021}
}

@inproceedings{Narayan2021PlanningWE,
  title={Planning with Entity Chains for Abstractive Summarization},
  author={Shashi Narayan and Yao Zhao and Joshua Maynez and Gonccalo Simoes and Ryan T. McDonald},
  year={2021}
}

@inproceedings{Vig2021SummVisIV,
  title={SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization},
  author={Jesse Vig and Wojciech Kryscinski and Karan Goel and Nazneen Rajani},
  year={2021}
}

@inproceedings{Xiao2021PredictingDT,
  title={Predicting Discourse Trees from Transformer-based Neural Summarizers},
  author={Wen Xiao and Patrick Huber and G. Carenini},
  year={2021}
}


@inproceedings{bi-etal-2021-aredsum,
    title = "{AREDSUM}: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization",
    author = "Bi, Keping  and
      Jha, Rahul  and
      Croft, Bruce  and
      Celikyilmaz, Asli",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.eacl-main.22",
    pages = "281--291",
    abstract = "Redundancy-aware extractive summarization systems score the redundancy of the sentences to be included in a summary either jointly with their salience information or separately as an additional sentence scoring step. Previous work shows the efficacy of jointly scoring and selecting sentences with neural sequence generation models. It is, however, not well-understood if the gain is due to better encoding techniques or better redundancy reduction approaches. Similarly, the contribution of salience versus diversity components on the created summary is not studied well. Building on the state-of-the-art encoding methods for summarization, we present two adaptive learning models: AREDSUM-SEQ that jointly considers salience and novelty during sentence selection; and a two-step AREDSUM-CTX that scores salience first, then learns to balance salience and redundancy, enabling the measurement of the impact of each aspect. Empirical results on CNN/DailyMail and NYT50 datasets show that by modeling diversity explicitly in a separate step, AREDSUM-CTX achieves significantly better performance than AREDSUM-SEQ as well as state-of-the-art extractive summarization baselines.",
}

@inproceedings{gabriel-etal-2021-discourse,
    title = "Discourse Understanding and Factual Consistency in Abstractive Summarization",
    author = "Gabriel, Saadia  and
      Bosselut, Antoine  and
      Da, Jeff  and
      Holtzman, Ari  and
      Buys, Jan  and
      Lo, Kyle  and
      Celikyilmaz, Asli  and
      Choi, Yejin",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.eacl-main.34",
    pages = "435--447",
    abstract = "We introduce a general framework for abstractive summarization with factual consistency and distinct modeling of the narrative flow in an output summary. Our work addresses current limitations of models for abstractive summarization that often hallucinate information or generate summaries with coherence issues. To generate abstractive summaries with factual consistency and narrative flow, we propose Cooperative Generator-Discriminator Networks (Co-opNet), a novel transformer-based framework where the generator works with a discriminator architecture to compose coherent long-form summaries. We explore four different discriminator objectives which each capture a different aspect of coherence, including whether salient spans of generated abstracts are hallucinated or appear in the input context, and the likelihood of sentence adjacency in generated abstracts. We measure the ability of Co-opNet to learn these objectives with arXiv scientific papers, using the abstracts as a proxy for gold long-form scientific article summaries. Empirical results from automatic and human evaluations demonstrate that Co-opNet learns to summarize with considerably improved global coherence compared to competitive baselines.",
}

@inproceedings{dong-etal-2021-discourse,
    title = "Discourse-Aware Unsupervised Summarization for Long Scientific Documents",
    author = "Dong, Yue  and
      Mircea Romascanu, Andrei  and
      Cheung, Jackie Chi Kit",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.eacl-main.93",
    pages = "1089--1102",
    abstract = "We propose an unsupervised graph-based ranking model for extractive summarization of long scientific documents. Our method assumes a two-level hierarchical graph representation of the source document, and exploits asymmetrical positional cues to determine sentence importance. Results on the PubMed and arXiv datasets show that our approach outperforms strong unsupervised baselines by wide margins in automatic metrics and human evaluation. In addition, it achieves performance comparable to many state-of-the-art supervised approaches which are trained on hundreds of thousands of examples. These results suggest that patterns in the discourse structure are a strong signal for determining importance in scientific articles.",
}

@inproceedings{kano-etal-2021-quantifying,
    title = "Quantifying Appropriateness of Summarization Data for Curriculum Learning",
    author = "Kano, Ryuji  and
      Takahashi, Takumi  and
      Nishino, Toru  and
      Taniguchi, Motoki  and
      Taniguchi, Tomoki  and
      Ohkuma, Tomoko",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.eacl-main.119",
    pages = "1395--1405",
    abstract = "Much research has reported the training data of summarization models are noisy; summaries often do not reflect what is written in the source texts. We propose an effective method of curriculum learning to train summarization models from such noisy data. Curriculum learning is used to train sequence-to-sequence models with noisy data. In translation tasks, previous research quantified noise of the training data using two models trained with noisy and clean corpora. Because such corpora do not exist in summarization fields, we propose a model that can quantify noise from a single noisy corpus. We conduct experiments on three summarization models; one pretrained model and two non-pretrained models, and verify our method improves the performance. Furthermore, we analyze how different curricula affect the performance of pretrained and non-pretrained summarization models. Our result on human evaluation also shows our method improves the performance of summarization models.",
}

@inproceedings{elsahar-etal-2021-self,
    title = "Self-Supervised and Controlled Multi-Document Opinion Summarization",
    author = "Elsahar, Hady  and
      Coavoux, Maximin  and
      Rozen, Jos  and
      Gall{\'e}, Matthias",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.eacl-main.141",
    pages = "1646--1662",
    abstract = "We address the problem of unsupervised abstractive summarization of collections of user generated reviews through self-supervision and control. We propose a self-supervised setup that considers an individual document as a target summary for a set of similar documents. This setting makes training simpler than previous approaches by relying only on standard log-likelihood loss and mainstream models. We address the problem of hallucinations through the use of control codes, to steer the generation towards more coherent and relevant summaries.",
}

@inproceedings{yela-bello-etal-2021-multihumes,
    title = "{M}ulti{H}um{ES}: Multilingual Humanitarian Dataset for Extractive Summarization",
    author = "Yela-Bello, Jenny Paola  and
      Oglethorpe, Ewan  and
      Rekabsaz, Navid",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.eacl-main.146",
    pages = "1713--1717",
    abstract = "When responding to a disaster, humanitarian experts must rapidly process large amounts of secondary data sources to derive situational awareness and guide decision-making. While these documents contain valuable information, manually processing them is extremely time-consuming when an expedient response is necessary. To improve this process, effective summarization models are a valuable tool for humanitarian response experts as they provide digestible overviews of essential information in secondary data. This paper focuses on extractive summarization for the humanitarian response domain and describes and makes public a new multilingual data collection for this purpose. The collection {--} called MultiHumES{--} provides multilingual documents coupled with informative snippets that have been annotated by humanitarian analysts over the past four years. We report the performance results of a recent neural networks-based summarization model together with other baselines. We hope that the released data collection can further grow the research on multilingual extractive summarization in the humanitarian response domain.",
}

@inproceedings{grail-etal-2021-globalizing,
    title = "Globalizing {BERT}-based Transformer Architectures for Long Document Summarization",
    author = "Grail, Quentin  and
      Perez, Julien  and
      Gaussier, Eric",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.eacl-main.154",
    pages = "1792--1810",
    abstract = "Fine-tuning a large language model on downstream tasks has become a commonly adopted process in the Natural Language Processing (NLP) (CITATION). However, such a process, when associated with the current transformer-based (CITATION) architectures, shows several limitations when the target task requires to reason with long documents. In this work, we introduce a novel hierarchical propagation layer that spreads information between multiple transformer windows. We adopt a hierarchical approach where the input is divided in multiple blocks independently processed by the scaled dot-attentions and combined between the successive layers. We validate the effectiveness of our approach on three extractive summarization corpora of long scientific papers and news articles. We compare our approach to standard and pre-trained language-model-based summarizers and report state-of-the-art results for long document summarization and comparable results for smaller document summarization.",
}

@inproceedings{iskender-etal-2021-reliability,
    title = "Reliability of Human Evaluation for Text Summarization: Lessons Learned and Challenges Ahead",
    author = {Iskender, Neslihan  and
      Polzehl, Tim  and
      M{\"o}ller, Sebastian},
    booktitle = "Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval)",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.humeval-1.10",
    pages = "86--96",
    abstract = "Only a small portion of research papers with human evaluation for text summarization provide information about the participant demographics, task design, and experiment protocol. Additionally, many researchers use human evaluation as gold standard without questioning the reliability or investigating the factors that might affect the reliability of the human evaluation. As a result, there is a lack of best practices for reliable human summarization evaluation grounded by empirical evidence. To investigate human evaluation reliability, we conduct a series of human evaluation experiments, provide an overview of participant demographics, task design, experimental set-up and compare the results from different experiments. Based on our empirical analysis, we provide guidelines to ensure the reliability of expert and non-expert evaluations, and we determine the factors that might affect the reliability of the human evaluation.",
}

@inproceedings{zagar-robnik-sikonja-2021-unsupervised,
    title = "Unsupervised Approach to Multilingual User Comments Summarization",
    author = "{\v{Z}}agar, Ale{\v{s}}  and
      Robnik-{\v{S}}ikonja, Marko",
    booktitle = "Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.hackashop-1.13",
    pages = "89--98",
    abstract = "User commenting is a valuable feature of many news outlets, enabling them a contact with readers and enabling readers to express their opinion, provide different viewpoints, and even complementary information. Yet, large volumes of user comments are hard to filter, let alone read and extract relevant information. The research on the summarization of user comments is still in its infancy, and human-created summarization datasets are scarce, especially for less-resourced languages. To address this issue, we propose an unsupervised approach to user comments summarization, which uses a modern multilingual representation of sentences together with standard extractive summarization techniques. Our comparison of different sentence representation approaches coupled with different summarization approaches shows that the most successful combinations are the same in news and comment summarization. The empirical results and presented visualisation show usefulness of the proposed methodology for several languages.",
}

@inproceedings{karn-etal-2021-shot,
    title = "Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data",
    author = {Karn, Sanjeev Kumar  and
      Chen, Francine  and
      Chen, Yan-Ying  and
      Waltinger, Ulli  and
      Sch{\"u}tze, Hinrich},
    booktitle = "Proceedings of the Second Workshop on Domain Adaptation for NLP",
    month = apr,
    year = "2021",
    address = "Kyiv, Ukraine",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.adaptnlp-1.24",
    pages = "245--254",
    abstract = "Interleaved texts, where posts belonging to different threads occur in a sequence, commonly occur in online chat posts, so that it can be time-consuming to quickly obtain an overview of the discussions. Existing systems first disentangle the posts by threads and then extract summaries from those threads. A major issue with such systems is error propagation from the disentanglement component. While end-to-end trainable summarization system could obviate explicit disentanglement, such systems require a large amount of labeled data. To address this, we propose to pretrain an end-to-end trainable hierarchical encoder-decoder system using synthetic interleaved texts. We show that by fine-tuning on a real-world meeting dataset (AMI), such a system out-performs a traditional two-step system by 22{\%}. We also compare against transformer models and observed that pretraining with synthetic data both the encoder and decoder outperforms the BertSumExtAbs transformer model which pretrains only the encoder on a large dataset.",
}

@inproceedings{huang-kurohashi-2021-extractive,
    title = "Extractive Summarization Considering Discourse and Coreference Relations based on Heterogeneous Graph",
    author = "Huang, Yin Jou  and
      Kurohashi, Sadao",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.eacl-main.265",
    pages = "3046--3052",
    abstract = "Modeling the relations between text spans in a document is a crucial yet challenging problem for extractive summarization. Various kinds of relations exist among text spans of different granularity, such as discourse relations between elementary discourse units and coreference relations between phrase mentions. In this paper, we propose a heterogeneous graph based model for extractive summarization that incorporates both discourse and coreference relations. The heterogeneous graph contains three types of nodes, each corresponds to text spans of different granularity. Experimental results on a benchmark summarization dataset verify the effectiveness of our proposed method.",
}

@inproceedings{amplayo-lapata-2021-informative,
    title = "Informative and Controllable Opinion Summarization",
    author = "Amplayo, Reinald Kim  and
      Lapata, Mirella",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.eacl-main.229",
    pages = "2662--2672",
    abstract = "Opinion summarization is the task of automatically generating summaries for a set of reviews about a specific target (e.g., a movie or a product). Since the number of reviews for each target can be prohibitively large, neural network-based methods follow a two-stage approach where an extractive step first pre-selects a subset of salient opinions and an abstractive step creates the summary while conditioning on the extracted subset. However, the extractive model leads to loss of information which may be useful depending on user needs. In this paper we propose a summarization framework that eliminates the need to rely only on pre-selected content and waste possibly useful information, especially when customizing summaries. The framework enables the use of all input reviews by first condensing them into multiple dense vectors which serve as input to an abstractive model. We showcase an effective instantiation of our framework which produces more informative summaries and also allows to take user preferences into account using our zero-shot customization technique. Experimental results demonstrate that our model improves the state of the art on the Rotten Tomatoes dataset and generates customized summaries effectively.",
}

@inproceedings{steen-markert-2021-evaluate,
    title = "How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation",
    author = "Steen, Julius  and
      Markert, Katja",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.eacl-main.160",
    pages = "1861--1875",
    abstract = "Manual evaluation is essential to judge progress on automatic text summarization. However, we conduct a survey on recent summarization system papers that reveals little agreement on how to perform such evaluation studies. We conduct two evaluation experiments on two aspects of summaries{'} linguistic quality (coherence and repetitiveness) to compare Likert-type and ranking annotations and show that best choice of evaluation method can vary from one aspect to another. In our survey, we also find that study parameters such as the overall number of annotators and distribution of annotators to annotation items are often not fully reported and that subsequent statistical analysis ignores grouping factors arising from one annotator judging multiple summaries. Using our evaluation experiments, we show that the total number of annotators can have a strong impact on study power and that current statistical analysis methods can inflate type I error rates up to eight-fold. In addition, we highlight that for the purpose of system comparison the current practice of eliciting multiple judgements per summary leads to less powerful and reliable annotations given a fixed study budget.",
}

@article{mehnaz2021gupshup,
  title={GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations},
  author={Mehnaz, Laiba and Mahata, Debanjan and Gosangi, Rakesh and Gunturi, Uma Sushmitha and Jain, Riya and Gupta, Gauri and Kumar, Amardeep and Lee, Isabelle and Acharya, Anish and Shah, Rajiv Ratn},
  journal={arXiv preprint arXiv:2104.08578},
  year={2021}
}

@article{koay2021sliding,
  title={A Sliding-Window Approach to Automatic Creation of Meeting Minutes},
  author={Koay, Jia Jin and Roustai, Alexander and Dai, Xiaojin and Liu, Fei},
  journal={arXiv preprint arXiv:2104.12324},
  year={2021}
}

@article{pagnoni2021understanding,
  title={Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics},
  author={Pagnoni, Artidoro and Balachandran, Vidhisha and Tsvetkov, Yulia},
  journal={arXiv preprint arXiv:2104.13346},
  year={2021}
}

@article{huang2021gpt2mvs,
  title={GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization},
  author={Huang, Jia-Hong and Murn, Luka and Mrak, Marta and Worring, Marcel},
  journal={arXiv preprint arXiv:2104.12465},
  year={2021}
}

@inproceedings{Kryscinski2021BookSumAC,
  title={BookSum: A Collection of Datasets for Long-form Narrative Summarization},
  author={Wojciech Kryscinski and Nazneen Rajani and Divyansh Agarwal and Caiming Xiong and Dragomir Radev},
  year={2021}
}

@article{Chen2021DialSummAR,
  title={DialSumm: A Real-Life Scenario Dialogue Summarization Dataset},
  author={Yulong Chen and Yang Liu and Liang Chen and Yue Zhang},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.06762}
}

@article{Iskender2021TowardsHA,
  title={Towards Human-Free Automatic Quality Evaluation of German Summarization},
  author={Neslihan Iskender and Oleg V. Vasilyev and Tim Polzehl and John Bohannon and Sebastian Moller},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.06027}
}

@article{Nan2021ImprovingFC,
  title={Improving Factual Consistency of Abstractive Summarization via Question Answering},
  author={Feng Nan and Cicero Nogueira dos Santos and Henghui Zhu and Patrick Ng and K. McKeown and Ramesh Nallapati and Dejiao Zhang and Zhiguo Wang and Andrew O. Arnold and Bing Xiang},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.04623}
}

@inproceedings{YelaBello2021MultiHumESMH,
  title={MultiHumES: Multilingual Humanitarian Dataset for Extractive Summarization},
  author={Jenny Paola Yela-Bello and Ewan Oglethorpe and Navid Rekabsaz},
  booktitle={EACL},
  year={2021}
}

@article{Sun2021D2SDG,
  title={D2S: Document-to-Slide Generation Via Query-Based Text Summarization},
  author={Edward Sun and Yufang Hou and Dakuo Wang and Yunfeng Zhang and Nancy X.R. Wang},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.03664}
}

@article{Adams2021WhatsIA,
  title={What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization},
  author={Griffin Adams and Emily Alsentzer and Mert Ketenci and J. Zucker and No{\'e}mie Elhadad},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.00816}
}

@article{Puspitaningrum2021ASO,
  title={A Survey of Recent Abstract Summarization Techniques},
  author={Diyah Puspitaningrum},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.00824}
}

@article{Manakul2021LongSpanDI,
  title={Long-Span Dependencies in Transformer-based Summarization Systems},
  author={Potsawee Manakul and M. Gales},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.03801}
}

@inproceedings{Feng2020DialogueDG,
  title={Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization},
  author={Xiachong Feng and Xiaocheng Feng and Bing Qin and Xinwei Geng},
  year={2020}
}

@inproceedings{Stankevivcius2021GeneratingAS,
  title={Generating abstractive summaries of Lithuanian news articles using a transformer model},
  author={L. Stankevivcius and Mantas Lukovsevivcius},
  year={2021}
}

@article{Jain2021MRCBertAM,
  title={MRCBert: A Machine Reading ComprehensionApproach for Unsupervised Summarization},
  author={Saurabh Jain and Guokai Tang and Lim Sze Chi},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.00239}
}

@article{Huang2021TheFI,
  title={The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey},
  author={Yi-Chong Huang and Xia-Chong Feng and Xiao-Cheng Feng and Bing Qin},
  journal={ArXiv},
  year={2021},
  volume={abs/2104.14839}
}

@article{Koay2021ASA,
  title={A Sliding-Window Approach to Automatic Creation of Meeting Minutes},
  author={Jia Jin Koay and A. Roustai and Xiaojin Dai and Fei Liu},
  journal={ArXiv},
  year={2021},
  volume={abs/2104.12324}
}

@article{Pagnoni2021UnderstandingFI,
  title={Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics},
  author={Artidoro Pagnoni and Vidhisha Balachandran and Yulia Tsvetkov},
  journal={ArXiv},
  year={2021},
  volume={abs/2104.13346}
}