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Dialogue summarization is a challenging problem due to the informal and unstructured nature of conversational data.
Efficient adaptation of pretrained transformers for abstractive summarization
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Abstractive dialog summarization with semantic scaffolds
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The icsi meeting corpus
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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The ami meeting corpus: A pre-announcement
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A skip-chain conditional random field for ranking meeting utterances by importance
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Packing the meeting summarization knapsack
Korbinian Riedhammer, Dan Gillick, Benoit Favre, and Dilek Hakkani-Tür. 2008 · 2008
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Clusterrank: a graph based method for meeting summarization
Nikhil Garg, Benoit Favre, Korbinian Reidhammer, and Dilek Hakkani-Tür. 2009 · 2009
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Situated utterances and discourse relations
Matthew Stone, Una Stojnic, and Ernest Lepore. 2013 · 2013
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Teaching machines to read and comprehend
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015
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A neural attention model for abstractive sentence summarization
Alexander M Rush, Sumit Chopra, and Jason Weston. 2015 · 2015
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Abstractive sentence summarization with attentive recurrent neural networks
Sumit Chopra, Michael Auli, and Alexander M Rush. 2016 · 2016
Joint modeling of content and discourse relations in dialogues
Kechen Qin, Lu Wang, and Joseph Kim. 2017 · 2017
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J Liu, and Christopher D Manning. 2017 · 2017
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Abstractive document summarization with a graph-based attentional neural model
Jiwei Tan, Xiaojun Wan, and Jianguo Xiao. 2017 · 2017
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Combining graph degeneracy and submodularity for unsupervised extractive summarization
Antoine Tixier, Polykarpos Meladianos, and Michalis Vazirgiannis. 2017 · 2017
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Fast abstractive summarization with reinforce-selected sentence rewriting
Yen-Chun Chen and Mohit Bansal. 2018 · 2018
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Abstractive dialogue summarization with sentence-gated modeling optimized by dialogue acts
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A latent variable recurrent neural network for discourse-driven language models
Yangfeng Ji, Gholamreza Haffari, and Jacob Eisenstein. 2016 · 2016
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Sequential short-text classification with recurrent and convolutional neural networks
Ji Young Lee and Franck Dernoncourt. 2016 · 2016
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Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Caglar Gulcehre, and Bing Xiang. 2016 · 2016
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Dialogue act sequence labeling using hierarchical encoder with crf
Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, Sachindra Joshi, and Arun Kumar. 2017 · 2017
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Chih-Wen Goo and Yun-Nung Chen. 2018 · 2018
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Dial2desc: end-to-end dialogue description generation
Haojie Pan, Junpei Zhou, Zhou Zhao, Yan Liu, Deng Cai, and Min Yang. 2018 · 2018
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Unsupervised abstractive meeting summarization with multi-sentence compression and budgeted submodular maximization
Guokan Shang, Wensi Ding, Zekun Zhang, Antoine Tixier, Polykarpos Meladianos, Michalis Vazirgiannis, and Jean-Pierre Lorré. 2018 · 2018
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Topic-aware pointer-generator networks for summarizing spoken conversations
Zhengyuan Liu, Angela Ng, Sheldon Lee, Ai Ti Aw, and Nancy F Chen. 2019 · 2019
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Abstractive meeting summarization via hierarchical adaptive segmental network learning
Zhou Zhao, Haojie Pan, Changjie Fan, Yan Liu, Linlin Li, Min Yang, and Deng Cai. 2019 · 2019
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