Better Highlighting   Creating Sub-Sentence Summary Highlights
Compressive Summarization with Plausibility and Salience Modeling
Re-evaluating Evaluation in Text Summarization
Few-Shot Learning for Opinion Summarization
Quantitative Argument Summarization and Beyond  Cross-Domain Key Point Analysis
VMSMO  Learning to Generate Multimodal Summary for Video-based News Articles
Multi-Fact Correction in Abstractive Text Summarization
Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
MLSUM  The Multilingual Summarization Corpus
Stepwise Extractive Summarization and Planning with Structured Transformers
Pre-training for Abstractive Document Summarization by Reinstating Source Text
Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization
Multi-hop Inference for Question-driven Summarization
Evaluating the Factual Consistency of Abstractive Text Summarization
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
What Have We Achieved on Text Summarization
Q-learning with Language Model for Edit-based Unsupervised Summarization
A Spectral Method for Unsupervised Multi-Document Summarization
Coarse-to-Fine Query Focused Multi-Document Summarization
Friendly Topic Assistant for Transformer Based Abstractive Summarization
Intrinsic Evaluation of Summarization Datasets
Multistage Fusion with Forget Gate for Multimodal Summarization in Open-Domain Videos
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network
TESA  A Task in Entity Semantic Aggregation for Abstractive Summarization
Factual Error Correction for Abstractive Summarization Models
Understanding Neural Abstractive Summarization Models via Uncertainty
Summarizing Text on Any Aspects  A Knowledge-Informed Weakly-Supervised Approach
Multi-XScience  A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
Learning to Fuse Sentences with Transformers for Summarization
Modeling Content Importance for Summarization with Pre-training Language Models
KLearn  Background Knowledge Inference from Summarization Data
TLDR  Extreme Summarization of Scientific Documents
CDEvalSumm  An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems
WikiLingua A New Benchmark Dataset for Cross-Lingual Abstractive Summarization
A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pre-training
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization
Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention
ZEST  Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
TED  A Pre-training Unsupervised Summarization Model with Theme Modeling and Denoising
Reducing the Frequency of Hallucinated Quantities in Abstractive Summaries
Abstractive Multi-Document Summarization via Joint Learning with Single-Document Summarization
Corpora Evaluation and System Bias detection in Multi Document Summarization
rds Zero Shot Conditional Summarization with Adaptive Multi-task Fine-Tuning
Document Reranking for Precision Medicine with Neural Matching and Faceted Summarization
Dr Summarize  Global Summarization of Medical Dialogue by Exploiting Local Structures
SupMMD  A Sentence Importance Model for Extractive Summarisation using Maximum Mean Discrepancy