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The demand for abstractive dialog summary is growing in real-world applications.
Support-vector networks
Corinna Cortes and Vladimir Vapnik · 1995
Earlier work this paper cites.
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira · 2001
Earlier work this paper cites.
Latent dirichlet allocation
David M. Blei, Andrew Y. Ng, and Michael I. Jordan · 2003
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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
I. McCowan, J. Carletta, W. Kraaij, S. Ashby, S. Bourban, M. Flynn, M. Guillemot, T. Hain, J. Kadlec, V. Karaiskos, M. Kronenthal, G. Lathoud, M. Lincoln, A. Lisowska, W. Post, Dennis Reidsma, P. Wellner, L.P.J.J. Noldus, F Grieco, L.W.S. Loijens, and P.H. Zimmerman · 2005
Earlier work this paper cites.
Extractive summarization of meeting recordings
Gabriel Murray, Steve Renals, and Jean Carletta · 2005
Earlier work this paper cites.
A skip-chain conditional random field for ranking meeting utterances by importance
Michel Galley · 2006
Earlier work this paper cites.
Domain-independent abstract generation for focused meeting summarization
Lu Wang and Claire Cardie · 2013
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le · 2014
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2015
Earlier work this paper cites.
Teaching machines to read and comprehend
Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom · 2015
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.
Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly · 2015
Cited alongside, same era.
Stochastic language generation in dialogue using recurrent neural networks with convolutional sentence reranking
Tsung-Hsien Wen, Milica Gasic, Dongho Kim, Nikola Mrksic, Pei hao Su, David Vandyke, and Steve J. Young · 2015
Cited alongside, same era.
Incorporating copying mechanism in sequence-to-sequence learning
Jiatao Gu, Zhengdong Lu, Hang Li, and Victor O.K. Li · 2016
Cited alongside, same era.
Natural language generation in dialogue using lexicalized and delexicalized data
Shikhar Sharma, Jing He, Kaheer Suleman, Hannes Schulz, and Philip Bachman · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Multiwoz - a large-scale multi-domain wizard-of-oz dataset for task-oriented dialogue modelling
Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, and Milica Gašić · 2018
Later among the works it cites.
Deep communicating agents for abstractive summarization
Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, and Yejin Choi · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Ramesh Nallapati, Bowen Zhou, Cícero Nogueira dos Santos, Çaglar Gülçehre, and Bing Xiang · 2016
Cited alongside, same era.
Sequence level training with recurrent neural networks
Marc’Aurelio Ranzato, Sumit Chopra, Michael Auli, and Wojciech Zaremba · 2016
Cited alongside, same era.
Modeling coverage for neural machine translation
Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, and Hang Li · 2016
Cited alongside, same era.
Summarizing decisions in spoken meetings
Lu Wang and Claire Cardie · 2016
Cited alongside, same era.
An actor-critic algorithm for sequence prediction
Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, and Yoshua Bengio · 2017
Cited alongside, same era.
Opennmt: Open-source toolkit for neural machine translation
Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander M. Rush · 2017
Cited alongside, same era.
Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning · 2017
Cited alongside, same era.
Later among the works it cites.
Bottom-up abstractive summarization
Sebastian Gehrmann, Yuntian Deng, and Alexander M. Rush · 2018
Later among the works it cites.
Abstractive dialogue summarization with sentence-gated modeling optimized by dialogue acts
Chih-Wen Goo and Yun-Nung Chen · 2018
Later among the works it cites.
Dial2desc: End-to-end dialogue description generation
Haojie Pan, Junpei Zhou, Zhou Zhao, Yan Liu, Deng Cai, and Min Yang · 2018
Later among the works it cites.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever · 2018
Later among the works it cites.
Efficient adaptation of pretrained transformers for abstractive summarization
Andrew Hoang, Antoine Bosselut, Asli Celikyilmaz, and Yejin Choi · 2019
Closest in time.
Keep meeting summaries on topic: Abstractive multi-modal meeting summarization
Manling Li, Lingyu Zhang, Heng Ji, and Richard J. Radke · 2019
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Hibert: Document level pre-training of hierarchical bidirectional transformers for document summarization
Xingxing Zhang, Furu Wei, and Ming Zhou · 2019
Closest in time.