Year Conf. Concept Cited Paper Authors Url
2016 ACL gen-2stage 340 Neural Summarization by Extracting Sentences and Words Jianpeng Cheng,Mirella Lapata https://arxiv.org/pdf/1603.07252.pdf
2017 AAAI arch-rnn 315 SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati,Feifei Zhai,Bowen Zhou https://arxiv.org/pdf/1611.04230.pdf
2018 NAA-CL gen-ext, gen-abs, task-singledDoc, arch-rnn, arch-cnn, nondif-reinforce, eval-metric-rouge 112 Ranking Sentences for Extractive Summarization with Reinforcement Learning Shashi Narayan,Shay B. Cohen,Mirella Lapata https://arxiv.org/pdf/1802.08636.pdf
2018 EMNLP gen-ext, gen-abs, arch-rnn, nondif-reinforce, eval-metric-rouge 19 BanditSum: Extractive Summarization as a Contextual Bandit Yue Dong,Yikang Shen,Eric Crawford,Herke van Hoof,Jackie Chi Kit Cheung https://arxiv.org/pdf/1809.09672.pdf
2018 EMNLP gen-ext, task-knowledge 17 Content Selection in Deep Learning Models of Summarization Chris Kedzie,Kathleen McKeown,Hal Daumé https://arxiv.org/pdf/1810.12343.pdf
2019 EMNLP gen-ext, gen-abs, gen-2stage, arch-transformer 12 Text Summarization with Pretrained Encoders Yang Liu,Mirella Lapata https://arxiv.org/pdf/1908.08345.pdf
2019 ACL task-multiDoc 3 Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization Sangwoo Cho,Logan Lebanoff,Hassan Foroosh,Fei Liu https://arxiv.org/pdf/1906.00072.pdf
2019 ACL arch-transformer 8 HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization Xingxing Zhang,Furu Wei,Ming Zhou https://arxiv.org/pdf/1905.06566.pdf
2019 ACL gen-ext 4 Searching for Effective Neural Extractive Summarization: What Works and What's Next Ming Zhong,Pengfei Liu,Danqing Wang,Xipeng Qiu,Xuanjing Huang https://arxiv.org/pdf/1907.03491.pdf
2019 EMNLP gen-ext, sup-sup, sup-unsup, arch-transformer 1 BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle Peter West,Ari Holtzman,Jan Buys,Yejin Choi https://arxiv.org/pdf/1909.07405.pdf