## Summarization

#### 2020

| Title | Summary | Paper Source | TL;DR |
| ----- | ------- | ----- | ---- |
| BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension | [Summary](https://medium.com/dair-ai/bart-are-all-pretraining-techniques-created-equal-e869a490042e) | [Paper](https://arxiv.org/pdf/1910.13461.pdf) | [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Summarization)

#### 2017

| Title | Summary | Paper Source | TL;DR |
| ----- | ------- | ----- | ---- |
| Get To The Point: Summarization with Pointer-Generator Networks | [Abigail See](http://www.abigailsee.com/2017/04/16/taming-rnns-for-better-summarization.html) | [Paper](https://arxiv.org/pdf/1704.04368.pdf) | [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Summarization)

#### 2016

| Title | Summary | Paper Source | TL;DR |
| ----- | ----- | ----- | --- |
| Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond | [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Summarization) | [Paper](https://arxiv.org/pdf/1602.06023.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#abstractive-text-summarization-using-sequence-to-sequence-rnns-and-beyond-s2s)
