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Abstractive text summarization aims to shorten long text documents into a human readable form that contains the most important facts from the original document.
Characterization of pareto and lexicographic optimal solutions
Aharon Ben-Tal. 1980 · 1980
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Reinforcement learning - an introduction
Richard S. Sutton and Andrew G. Barto. 1998 · 1998
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Policy gradient methods for reinforcement learning with function approximation
Richard S. Sutton, David A. McAllester, Satinder P. Singh, and Yishay Mansour. 1999 · 1999
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Automatic text summarization using a machine learning approach
Joel Larocca Neto, Alex A Freitas, and Celso AA Kaestner. 2002 · 2002
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Hedge trimmer: A parse-and-trim approach to headline generation
Bonnie Dorr, David Zajic, and Richard Schwartz. 2003 · 2003
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English gigaword, linguistic data consortium
David Graff and C Cieri. 2003 · 2003
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Duc in context
Paul Over, Hoa Dang, and Donna Harman. 2007 · 2007
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The new york times annotated corpus
Evan Sandhaus. 2008 · 2008
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Overcoming the lack of parallel data in sentence compression
Katja Filippova and Yasemin Altun. 2013 · 2013
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Regularization of neural networks using dropconnect
Li Wan, Matthew Zeiler, Sixin Zhang, Yann Le Cun, and Rob Fergus. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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Scheduled sampling for sequence prediction with recurrent neural networks
Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer. 2015 · 2015
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Heads: Headline generation as sequence prediction using an abstract feature-rich space
Carlos A Colmenares, Marina Litvak, Amin Mantrach, and Fabrizio Silvestri. 2015 · 2015
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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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How (not) to train your generative model: Scheduled sampling, likelihood, adversary?
Ferenc Huszar. 2015 · 2015
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Sequence-to-sequence learning as beam-search optimization
Sam Wiseman and Alexander M. Rush. 2016 · 2016
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Objective-reinforced generative adversarial networks (ORGAN) for sequence generation models
Gabriel Lima Guimaraes, Benjamin Sanchez-Lengeling, Pedro Luis Cunha Farias, and Alán Aspuru-Guzik. 2017 · 2017
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Tying word vectors and word classifiers: A loss framework for language modeling
Hakan Inan, Khashayar Khosravi, and Richard Socher. 2017 · 2017
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Summarunner: A recurrent neural network based sequence model for extractive summarization of documents
Ramesh Nallapati, Feifei Zhai, and Bowen Zhou. 2017 · 2017
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A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2017 · 2017
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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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Gradient estimation using stochastic computation graphs
John Schulman, Nicolas Heess, Theophane Weber, and Pieter Abbeel. 2015 · 2015
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Learning-based single-document summarization with compression and anaphoricity constraints
Greg Durrett, Taylor Berg-Kirkpatrick, and Dan Klein. 2016 · 2016
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Professor forcing: A new algorithm for training recurrent networks
Anirudh Goyal, Alex Lamb, Ying Zhang, Saizheng Zhang, Aaron C. Courville, and Yoshua Bengio. 2016 · 2016
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Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Çağlar Gülçehre, Bing Xiang, et al. 2016 · 2016
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Using the output embedding to improve language models
Ofir Press and Lior Wolf. 2016 · 2016
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Self-critical sequence training for image captioning
Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jarret Ross, and Vaibhava Goel. 2016 · 2016
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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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Cold fusion: Training seq2seq models together with language models
Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, and Adam Coates. 2017 · 2017
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Actor-critic sequence training for image captioning
Li Zhang, Flood Sung, Feng Liu, Tao Xiang, Shaogang Gong, Yongxin Yang, and Timothy M. Hospedales. 2017 · 2017
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Maskgan: Better text generation via filling in the ______
William Fedus, Ian J. Goodfellow, and Andrew M. Dai. 2018 · 2018
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Generative adversarial network for abstractive text summarization
Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, and Hongyan Li. 2018 · 2018
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Regularizing and optimizing lstm language models
Stephen Merity, Nitish Shirish Keskar, and Richard Socher. 2018 · 2018
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Multi-reward reinforced summarization with saliency and entailment
Ramakanth Pasunuru and Mohit Bansal. 2018 · 2018
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