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We introduce an extractive summarization system for meetings that leverages discourse structure to better identify salient information from complex multi-party discussions.
Automatic dialogue summary generation for customer service
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Dan Jurafsky, Liz Shriberg, and Debra Biasca. 1997 · 1997
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From discourse structures to text summaries
Daniel Marcu. 1997 · 1997
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The ICSI meeting corpus
Adam Janin, Don Baron, Jane Edwards, Dan Ellis, David Gelbart, Nelson Morgan, Barbara Peskin, Thilo Pfau, Elizabeth Shriberg, Andreas Stolcke, et al. 2003 · 2003
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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TextRank: Bringing order into text
Rada Mihalcea and Paul Tarau. 2004 · 2004
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The AMI meeting corpus
Iain Mccowan, Jean Carletta, Wessel Kraaij, Simone Ashby, Sebastien Bourban, Mike Flynn, Maël Guillemot, Thomas Hain, Jaroslav Kadlec, Vasilis Karaiskos, Melissa Kronenthal, Guillaume Lathoud, Mike Lincoln, Agnes Lisowska Masson, Wilfried Post, Dennis Reidsma, and P. Wellner. 2005 · 2005
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Extractive summarization of meeting recordings
Gabriel Murray, Steve Renals, and Jean Carletta. 2005 · 2005
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Segmented discourse representation theory: Dynamic semantics with discourse structure
Alex Lascarides and Nicholas Asher. 2008 · 2008
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Generating and validating abstracts of meeting conversations: a user study
Gabriel Murray, Giuseppe Carenini, and Raymond Ng. 2010 · 2010
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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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Discourse structure and dialogue acts in multiparty dialogue: the STAC corpus
Nicholas Asher, Julie Hunter, Mathieu Morey, Benamara Farah, and Stergos Afantenos. 2016 · 2016
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling. 2016 · 2016
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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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Faithful to the original: Fact aware neural abstractive summarization
Ziqiang Cao, Furu Wei, Wenjie Li, and Sujian Li. 2018 · 2018
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Abstractive dialogue summarization with sentence-gated modeling optimized by dialogue acts
Chih-Wen Goo and Yun-Nung Chen. 2018 · 2018
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Modeling relational data with graph convolutional networks
Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling. 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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Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, and Aram Galstyan. 2019 · 2019
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Text summarization with pretrained encoders
Yang Liu and Mirella Lapata. 2019 · 2019
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Exploiting discourse-level segmentation for extractive summarization
Zhengyuan Liu and Nancy Chen. 2019 · 2019
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ELITR minuting corpus: A novel dataset for automatic minuting from multi-party meetings in English and Czech
Anna Nedoluzhko, Muskaan Singh, Marie Hledíková, Tirthankar Ghosal, and Ondřej Bojar. 2022 · 2022
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DialogLM: Pre-trained model for long dialogue understanding and summarization
Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, and Michael Zeng. 2022 · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
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A simple but effective model for attachment in discourse parsing with multi-task learning for relation labeling
Zineb Bennis, Julie Hunter, and Nicholas Asher. 2023 · 2023
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Improving dialogue discourse parsing via reply-to structures of addressee recognition
Yaxin Fan, Feng Jiang, Peifeng Li, Fang Kong, and Qiaoming Zhu. 2023 · 2023
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Nils Reimers and Iryna Gurevych. 2019 · 2019
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A deep sequential model for discourse parsing on multi-party dialogues
Zhouxing Shi and Minlie Huang. 2019 · 2019
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Dialogue discourse-aware graph model and data augmentation for meeting summarization
Xiachong Feng, Xiaocheng Feng, Bing Qin, and Xinwei Geng. 2020 · 2020
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You’re right! You are working longer and attending more meetings
Danielle Kost. 2020 · 2020
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Molweni: A challenge multiparty dialogues-based machine reading comprehension dataset with discourse structure
Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, and Bing Qin. 2020 · 2020
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Guokan Shang, Antoine Tixier, Michalis Vazirgiannis, and Jean-Pierre Lorré. 2020 · 2020
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Discourse-aware neural extractive text summarization
Jiacheng Xu, Zhe Gan, Yu Cheng, and Jingjing Liu. 2020 · 2020
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MeetingBank: A benchmark dataset for meeting summarization
Yebowen Hu, Timothy Ganter, Hanieh Deilamsalehy, Franck Dernoncourt, Hassan Foroosh, and Fei Liu. 2023 · 2023
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Incorporating distributions of discourse structure for long document abstractive summarization
Dongqi Pu, Yifan Wang, and Vera Demberg. 2023 · 2023
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Mathieu Ravaut, Shafiq Joty, Aixin Sun, and Nancy F Chen. 2023 · 2023
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FREDSum: A dialogue summarization corpus for French political debates
Virgile Rennard, Guokan Shang, Damien Grari, Julie Hunter, and Michalis Vazirgiannis. 2023a · 2023
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Vcsum: A versatile chinese meeting summarization dataset
Han Wu, Mingjie Zhan, Haochen Tan, Zhaohui Hou, Ding Liang, and Linqi Song. 2023 · 2023
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Extractive is not faithful: An investigation of broad unfaithfulness problems in extractive summarization
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Gosum: extractive summarization of long documents by reinforcement learning and graph-organized discourse state
Junyi Bian, Xiaodi Huang, Hong Zhou, Tianyang Huang, and Shanfeng Zhu. 2024 · 2024
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