持续更新 EMNLP2020 Summarization

Long

Multi-Fact Correction in Abstractive Text Summarization. Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung and Jingjing Liu.
Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning.Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa and Shouling Ji.
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning.Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren and Jiawei Han.
MLSUM: The Multilingual Summarization Corpus.Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski and Jacopo Staiano.
Stepwise Extractive Summarization and Planning with Structured Transformers. Shashi Narayan, Joshua Maynez, Jakub Adamek, Daniele Pighin, Blaz Bratanic and Ryan McDonald.
Pre-training for Abstractive Document Summarization by Reinstating Source Text.Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei and Ming Zhou.
Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization. Jiaao Chen and Diyi Yang.
Multi-hop Inference for Question-driven Summarization.Yang Deng, Wenxuan Zhang and Wai Lam.
Evaluating the Factual Consistency of Abstractive Text Summarization. Wojciech Kryscinski, Bryan McCann, Caiming Xiong and Richard Socher.
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models. Jonathan Pilault, Raymond Li, Sandeep Subramanian and Chris Pal.
A Spectral Method for Unsupervised Multi-Document Summarization. Kexiang Wang, Baobao Chang and Zhifang Sui.
Better Highlighting: Creating Sub-Sentence Summary Highlights. Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh and Fei Liu.
Coarse-to-Fine Query Focused Multi-Document Summarization. Yumo Xu and Mirella Lapata.
Compressive Summarization with Plausibility and Salience Modeling. Shrey Desai, Jiacheng Xu and Greg Durrett.
Few-Shot Learning for Opinion Summarization. Arthur Bražinskas, Mirella Lapata and Ivan Titov.
Friendly Topic Assistant for Transformer Based Abstractive Summarization. Zhengjue Wang, Zhibin Duan, Hao Zhang, chaojie wang, long tian, Bo Chen and Mingyuan Zhou.
Intrinsic Evaluation of Summarization Datasets. Rishi Bommasani and Claire Cardie.
Multistage Fusion with Forget Gate for Multimodal Summarization in Open-Domain Videos. Nayu Liu, Xian Sun, Hongfeng Yu, Wenkai Zhang and Guangluan Xu.
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network. Ruipeng Jia, Yanan Cao, Hengzhu Tang, Fang Fang, Cong Cao and Shi Wang.
Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysis. Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav and Noam Slonim.
Re-evaluating Evaluation in Text Summarization. Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, Pengfei Liu and Graham Neubig.
TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization. Clément Jumel, Annie Louis and Jackie Chi Kit Cheung.
VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles. Mingzhe Li, Xiuying Chen, Shen Gao, Zhangming Chan, Dongyan Zhao and Rui Yan.
What Have We Achieved on Text Summarization?. Dandan Huang, Leyang Cui, Sen Yang, Guangsheng Bao, Wang Kun, Jun Xie and Yue Zhang.
Q-learning with Language Model for Edit-based Unsupervised Summarization. Ryosuke Kohita, Akifumi Wachi, Yang Zhao and Ryuki Tachibana.

Short

Learning to Fuse Sentences with Transformers for Summarization.Logan Lebanoff,
Factual Error Correction for Abstractive Summarization Models. Meng Cao, Yue Dong, Jiapeng Wu and Jackie Chi Kit Cheung.
Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang and Fei Liu.
Modeling Content Importance for Summarization with Pre-trained Language Models. Liqiang Xiao, Lu Wang, Hao He and Yaohui Jin.
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles. Yao Lu, Yue Dong and Laurent Charlin.
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach. Bowen Tan, Lianhui Qin, Eric Xing and Zhiting Hu.
Understanding Neural Abstractive Summarization Models via Uncertainty. Jiacheng Xu, Shrey Desai and Greg Durrett.