| Year | Conf. | Concept | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2015 | EMNLP | gen-abs | 105 | LCSTS: A Large Scale Chinese Short Text Summarization Dataset | Baotian Hu,Qingcai Chen,Fangze Zhu | https://arxiv.org/pdf/1506.05865.pdf |
| 2018 | EMNLP | data-new | 36 | Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization | Shashi Narayan, Shay B. Cohen, Mirella Lapata | https://www.aclweb.org/anthology/D18-1206.pdf |
| 2016 | NAA-CL | data-new | 42 | Neural Network-Based Abstract Generation for Opinions and Arguments | Lu Wang, Wang Ling | https://www.aclweb.org/anthology/N16-1007.pdf |
| 2019 | NAA-CL | gen-abs, data-new | 10 | Abstractive Summarization of Reddit Posts with Multi-level Memory Networks | Byeongchang Kim,Hyunwoo Kim,Gunhee Kim | https://arxiv.org/pdf/1811.00783.pdf |
| 2019 | ACL | gen-abs, data-new | 2 | BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization | Eva Sharma,Chen Li,Lu Wang | https://arxiv.org/pdf/1906.03741.pdf |
| 2016 | CoNLL | gen-abs, data-new | 685 | Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond | Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Çağlar Gu̇lçehre, Bing Xiang | https://www.aclweb.org/anthology/K16-1028.pdf |
| 2018 | NAA-CL | task-sci | 44 | A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents | Arman Cohan,Franck Dernoncourt,Doo Soon Kim,Trung Bui,Seokhwan Kim,Walter Chang,Nazli Goharian | https://arxiv.org/pdf/1804.05685.pdf |
| 2018 | NAA-CL | task-longtext | 51 | Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies | Max Grusky, Mor Naaman, Yoav Artzi | https://arxiv.org/pdf/1804.11283.pdf |
| 2019 | EMNLP-ws | data-new | 0 | BillSum: A Corpus for Automatic Summarization of US Legislation | Anastassia Kornilova, Vlad Eidelman | https://arxiv.org/pdf/1910.00523.pdf |
| 2019 | EMNLP | gen-ext | 0 | SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization | Prakhar Ganesh,Saket Dingliwal | https://arxiv.org/pdf/1902.01615.pdf |
| 2019 | EMNLP | train-multilingual | 0 | Global Voices: Crossing Borders in Automatic News Summarization | Khanh Nguyen,Hal Daumé | https://arxiv.org/pdf/1910.00421.pdf |
| 2018 | ICLR | data-new | 141 | Generating Wikipedia by Summarizing Long Sequences | Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, Noam Shazeer | https://arxiv.org/pdf/1801.10198.pdf |
| 2019 | AAAI | task-sci | 0 | ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks | Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev | https://arxiv.org/pdf/1909.01716.pdf |
| 2019 | ACL | data-new | 5 | Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model | Alexander R. Fabbri,Irene Li,Tianwei She,Suyi Li,Dragomir R. Radev | https://arxiv.org/pdf/1906.01749.pdf |
| 2018 | Arxiv | data-new | 12 | WikiHow: A Large Scale Text Summarization Dataset | Mahnaz Koupaee, William Yang Wang | https://arxiv.org/pdf/1810.09305.pdf |
| 2017 | ACL | data-new | 14 | Understanding and Detecting Supporting Arguments of Diverse Types | Xinyu Hua, Lu Wang | https://www.aclweb.org/anthology/P17-2032.pdf |
| 2017 | ACL | data-new | 49 | Diversity driven Attention Model for Query-based Abstractive | Summarization | Preksha Nema, Mitesh Khapra, Anirban Laha, Balaraman Ravindran |
| 2019 | NAA-CL | data-new | 1 | Recommendations for Datasets for Source Code Summarization | Alexander LeClair, Collin McMillan | https://arxiv.org/pdf/1904.02660.pdf |
| 2019 | ACL | data-new | 2 | TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks | Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki | https://arxiv.org/pdf/1906.01351.pdf |
| 2019 | ACL | data-new | 2 | Inducing Document Structure for Aspect-based Summarization | Lea Frermann, Alexandre Klementiev | https://www.aclweb.org/anthology/P19-1630.pdf |
| 2019 | EMNLP | data-new | 0 | How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing | Shen Gao, Xiuying Chen, Piji Li, Zhangming Chan, Dongyan Zhao, Rui Yan | https://arxiv.org/pdf/1909.08837.pdf |
| 2018 | NAA-CL | data-new | 2 | A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications | Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, Madeleine van Zuylen, Sebastian Kohlmeier, Eduard Hovy, Roy Schwartz | https://arxiv.org/pdf/1804.09635.pdf |
| 2019 | AAAI | data-new | 1 | Towards Personalized Review Summarization via User-Aware Sequence Network | Junjie Li,Haoran Li,Chengqing Zong | https://pdfs.semanticscholar.org/d269/717aecdcdd0e484dddc02699b407ce756d62.pdf |
| 2019 | EMNLP | arch-att | 0 | Attribute-aware Sequence Network for Review Summarization | Junjie Li,Xuepeng Wang,Dawei Yin,Chengqing Zong | https://pdfs.semanticscholar.org/1bad/13a444f3b1fc43eb79892fecf8363d4d7eee.pdf |
| 2017 | AAAI | task-multimodal | 12 | Active Video Summarization: Customized Summaries via On-line Interaction with the User | Ana Garcia del Molino,Xavier Boix,Joo-Hwee Lim,Ah-Hwee Tan | https://pdfs.semanticscholar.org/eb9b/5c4f161954443b59a5fa4df14f4123f95953.pdf |