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Neural abstractive summarization has been increasingly studied, where the prior work mainly focused on summarizing single-speaker documents (news, scientific publications, etc).
“Context and dialogue control,”
Harry Bunt, · 1994
Earlier work this paper cites.
“A trainable document summarizer,”
Julian Kupiec, Jan Pedersen, and Francine Chen, · 1995
Earlier work this paper cites.
“Dialogue act tagging with transformation-based learning,”
Ken Samuel, Sandra Carberry, and K. Vijay-Shanker, · 1998
Earlier work this paper cites.
“Using high level dialogue information for dialogue act recognition using prosodic features,”
Helen Wright, Massimo Poesio, and Stephen Isard, · 1999
Earlier work this paper cites.
“Dialogue act modeling for automatic tagging and recognition of conversational speech,”
Andreas Stolcke, Noah Coccaro, Rebecca Bates, Paul Taylor, Carol Van Ess-Dykema, Klaus Ries, Elizabeth Shriberg, Daniel Jurafsky, Rachel Martin, and Marie Meteer, · 2000
Earlier work this paper cites.
“Dialogue act recognition with bayesian networks for dutch dialogues,”
Simon Keizer, Rieks op den Akker, and Anton Nijholt, · 2002
Earlier work this paper cites.
“ROUGE: A package for automatic evaluation of summaries,”
Chin-Yew Lin, · 2004
Earlier work this paper cites.
“Comparing lexical, acoustic/prosodic, structural and discourse features for speech summarization,”
Sameer Maskey and Julia Hirschberg, · 2005
Earlier work this paper cites.
“The ami meeting corpus,”
Iain McCowan, Jean Carletta, W Kraaij, S Ashby, S Bourban, M Flynn, M Guillemot, T Hain, J Kadlec, V Karaiskos, et al., · 2005
Earlier work this paper cites.
“Automatic dialog act segmentation and classification in multiparty meetings,”
J. Ang, Yang Liu, and E. Shriberg, · 2005
Earlier work this paper cites.
“Long story short–global unsupervised models for keyphrase based meeting summarization,”
Korbinian Riedhammer, Benoit Favre, and Dilek Hakkani-Tür, · 2010
Earlier work this paper cites.
“Using syntactic and semantic based relations for dialogue act recognition,”
Tina Klüwer, Hans Uszkoreit, and Feiyu Xu, · 2010
Earlier work this paper cites.
“Spoken lecture summarization by random walk over a graph constructed with automatically extracted key terms,”
Yun-Nung Chen, Yu Huang, Ching-Feng Yeh, and Lin-Shan Lee, · 2011
Earlier work this paper cites.
“Automatic key term extraction and summarization from spoken course lectures,”
Yun-Nung Chen, · 2011
Cited alongside, same era.
“Automatic Text Summarization: Past, Present and Future,”
Horacio Saggion and Thierry Poibeau, · 2012
Cited alongside, same era.
“Topic identification based extrinsic evaluation of summarization techniques applied to conversational speech,”
David Harwath and Timothy J Hazen, · 2012
Cited alongside, same era.
“Two-layer mutually reinforced random walk for improved multi-party meeting summarization,”
Yun-Nung Chen and Florian Metze, · 2012
Cited alongside, same era.
“Intra-speaker topic modeling for improved multi-party meeting summarization with integrated random walk,”
Yun-Nung Chen and Florian Metze, · 2012
Cited alongside, same era.
“Multi-layer mutually reinforced random walk with hidden parameters for improved multi-party meeting summarization,”
“Sequence-to-sequence rnns for text summarization,”
Ramesh Nallapati, Bing Xiang, and Bowen Zhou, · 2016
Later among the works it cites.
“Incorporating copying mechanism in sequence-to-sequence learning,”
Jiatao Gu, Zhengdong Lu, Hang Li, and Victor O.K. Li, · 2016
Later among the works it cites.
“Language as a latent variable: Discrete generative models for sentence compression,”
Yishu Miao and Phil Blunsom, · 2016
Later among the works it cites.
“A latent variable recurrent neural network for discourse-driven language models,”
Yangfeng Ji, Gholamreza Haffari, and Jacob Eisenstein, · 2016
Later among the works it cites.
“Dialogue act classification in domain-independent conversations using a deep recurrent neural network,”
Hamed Khanpour, Nishitha Guntakandla, and Rodney D. Nielsen, · 2016
Later among the works it cites.
“Sequential short-text classification with recurrent and convolutional neural networks,”
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Yun-Nung Chen and Florian Metze, · 2013
Cited alongside, same era.
“Dialogue act recognition in synchronous and asynchronous conversations,”
Maryam Tavafi, Yashar Mehdad, Shafiq Joty, Giuseppe Carenini, and Raymond Ng, · 2013
Cited alongside, same era.
“An empirical investigation of sparse log-linear models for improved dialogue act classification,”
Yun-Nung Chen, William Yang Wang, and Alexander I Rudnicky, · 2013
Cited alongside, same era.
“Recurrent convolutional neural networks for discourse compositionality,”
Nal Kalchbrenner and Phil Blunsom, · 2013
Cited alongside, same era.
“Spoken knowledge organization by semantic structuring and a prototype course lecture system for personalized learning,”
Hung-yi Lee, Sz-Rung Shiang, Ching-feng Yeh, Yun-Nung Chen, Yu Huang, Sheng-Yi Kong, and Lin-shan Lee, · 2014
Cited alongside, same era.
“A neural attention model for abstractive sentence summarization,”
Alexander M Rush, Sumit Chopra, and Jason Weston, · 2015
Cited alongside, same era.
“Using recurrent neural networks for slot filling in spoken language understanding,”
Grégoire Mesnil, Yann Dauphin, Kaisheng Yao, Yoshua Bengio, Li Deng, Dilek Hakkani-Tur, Xiaodong He, Larry Heck, Gokhan Tur, Dong Yu, et al., · 2015
Cited alongside, same era.
Ji Young Lee and Franck Dernoncourt, · 2016
Later among the works it cites.
“Get to the point: Summarization with pointer-generator networks,”
Abigail See, Peter J Liu, and Christopher D Manning, · 2017
Later among the works it cites.
“Recent automatic text summarization techniques: a survey,”
Mahak Gambhir and Vishal Gupta, · 2017
Later among the works it cites.
“Preserving distributional information in dialogue act classification,”
Quan Hung Tran, Ingrid Zukerman, and Gholamreza Haffari, · 2017
Later among the works it cites.
“A unified model for extractive and abstractive summarization using inconsistency loss,”
Wan-Ting Hsu, Chieh-Kai Lin, Ming-Ying Lee, Kerui Min, Jing Tang, and Min Sun, · 2018
Closest in time.
“Bottom-up abstractive summarization,”
Sebastian Gehrmann, Yuntian Deng, and Alexander M Rush, · 2018
Closest in time.
“A discourse-aware attention model for abstractive summarization of long documents,”
Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, and Nazli Goharian, · 2018
Closest in time.
“Slot-gated modeling for joint slot filling and intent prediction,”
Chih-Wen Goo, Guang Gao, Yun-Kai Hsu, Chih-Li Huo, Tsung-Chieh Chen, Keng-Wei Hsu, and Yun-Nung Chen, · 2018
Closest in time.