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While online conversations can cover a vast amount of information in many different formats, abstractive text summarization has primarily focused on modeling solely news articles.
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AMPERSAND: Argument mining for PERSuAsive oNline discussions
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Lu Wang and Claire Cardie. 2013 · 2013
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A template-based abstractive meeting summarization: Leveraging summary and source text relationships
Tatsuro Oya, Yashar Mehdad, Giuseppe Carenini, and Raymond Ng. 2014 · 2014
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Identifying argumentative discourse structures in persuasive essays
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Adam: A method for stochastic optimization
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Amita Misra, Pranav Anand, Jean E. Fox Tree, and Marilyn Walker. 2015 · 2015
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Abstractive text summarization using sequence-to-sequence RNNs and beyond
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Çağlar Gulçehre, and Bing Xiang. 2016 · 2016
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ELI5: Long form question answering
Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, and Michael Auli. 2019 · 2019
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Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, and Richard Socher. 2019 · 2019
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fairseq: A fast, extensible toolkit for sequence modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli. 2019 · 2019
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Danqing Wang, Pengfei Liu, Ming Zhong, Jie Fu, Xipeng Qiu, and Xuanjing Huang. 2019 · 2019
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Pegasus: Pre-training with extracted gap-sentences for abstractive summarization
Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter J. Liu. 2019 · 2019
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Jiawei Zhou and Alexander Rush. 2019 · 2019
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Unsupervised opinion summarization as copycat-review generation
Arthur Bražinskas, Mirella Lapata, and Ivan Titov. 2020 · 2020
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Multi-view sequence-to-sequence models with conversational structure for abstractive dialogue summarization
Jiaao Chen and Diyi Yang. 2020 · 2020
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Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, and Ying Shen. 2020 · 2020
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Compressive summarization with plausibility and salience modeling
Shrey Desai, Jiacheng Xu, and Greg Durrett. 2020 · 2020
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Corpora evaluation and system bias detection in multi-document summarization
Alvin Dey, Tanya Chowdhury, Yash Kumar, and Tanmoy Chakraborty. 2020a · 2020
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Corpora evaluation and system bias detection in multi document summarization
Alvin Dey, Tanya Chowdhury, Yash Kumar, and Tanmoy Chakraborty. 2020b · 2020
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A large-scale multi-document summarization dataset from the Wikipedia current events portal
Demian Gholipour Ghalandari, Chris Hokamp, Nghia The Pham, John Glover, and Georgiana Ifrim. 2020 · 2020
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Generating representative headlines for news stories
Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, You Wu, Cong Yu, Daniel Finnie, Hongkun Yu, Jiaqi Zhai, and Nicholas Zukoski. 2020 · 2020
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The summary loop: Learning to write abstractive summaries without examples
Philippe Laban, Andrew Hsi, John Canny, and Marti A. Hearst. 2020 · 2020
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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A hierarchical network for abstractive meeting summarization with cross-domain pretraining
Chenguang Zhu, Ruochen Xu, Michael Zeng, and Xuedong Huang. 2020 · 2020
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