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In sentence compression, the task of shortening sentences while retaining the original meaning, models tend to be trained on large corpora containing pairs of verbose and compressed sentences.
Sentence reduction for automatic text summarization
Hongyan Jing. 2000 · 2000
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Using hidden markov modeling to decompose human-written summaries
Hongyan Jing. 2002 · 2002
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Summarization beyond sentence extraction: A probabilistic approach to sentence compression
Kevin Knight and Daniel Marcu. 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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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Supervised and unsupervised learning for sentence compression
Jenine Turner and Eugene Charniak. 2005 · 2005
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Sentence compression beyond word deletion
Trevor Cohn and Mirella Lapata. 2008 · 2008
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Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol. 2008 · 2008
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Putting it simply: a context-aware approach to lexical simplification
Or Biran, Samuel Brody, and Noémie Elhadad. 2011 · 2011
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Annotated gigaword
Courtney Napoles, Matthew Gormley, and Benjamin Van Durme. 2012 · 2012
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Exploiting similarities among languages for machine translation
Tomas Mikolov, Quoc V Le, and Ilya Sutskever. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Cited alongside, same era.
A survey of automated text simplification
Matthew Shardlow. 2014 · 2014
Cited alongside, same era.
Sentence compression by deletion with lstms
Katja Filippova, Enrique Alfonseca, Carlos A Colmenares, Lukasz Kaiser, and Oriol Vinyals. 2015 · 2015
Cited alongside, same era.
Hubness and pollution: Delving into cross-space mapping for zero-shot learning
Angeliki Lazaridou, Georgiana Dinu, and Marco Baroni. 2015 · 2015
Cited alongside, same era.
A neural attention model for abstractive sentence summarization
Alexander M Rush, Sumit Chopra, and Jason Weston. 2015 · 2015
Cited alongside, same era.
Controllable abstractive summarization
Angela Fan, David Grangier, and Michael Auli. 2017 · 2017
Later among the works it cites.
Unsupervised machine translation using monolingual corpora only
Guillaume Lample, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2017 · 2017
Later among the works it cites.
Summarunner: A recurrent neural network based sequence model for extractive summarization of documents
Ramesh Nallapati, Feifei Zhai, and Bowen Zhou. 2017 · 2017
Later among the works it cites.
Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. 2017 · 2017
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A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2017 · 2017
Later among the works it cites.
Get to the point: Summarization with pointer-generator networks
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Abstractive sentence summarization with attentive recurrent neural networks
Sumit Chopra, Michael Auli, and Alexander M Rush. 2016 · 2016
Cited alongside, same era.
Learning distributed representations of sentences from unlabelled data
Felix Hill, Kyunghyun Cho, and Anna Korhonen. 2016 · 2016
Cited alongside, same era.
Controlling Output Length in Neural Encoder-Decoders
Y. Kikuchi, G. Neubig, R. Sasano, H. Takamura, and M. Okumura. 2016 · 2016
Cited alongside, same era.
Language as a latent variable: Discrete generative models for sentence compression
Yishu Miao and Phil Blunsom. 2016 · 2016
Cited alongside, same era.
Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Cicero Nogueira dos Santos, Caglar Gulcehre, and Bing Xiang. 2016 · 2016
Cited alongside, same era.
Unsupervised neural machine translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho. 2017 · 2017
Cited alongside, same era.
Abigail See, Peter Liu, and Christopher Manning. 2017 · 2017
Later among the works it cites.
Adversarial training for unsupervised bilingual lexicon induction
Meng Zhang, Yang Liu, Huanbo Luan, and Maosong Sun. 2017 · 2017
Later among the works it cites.
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
Mikel Artetxe, Gorka Labaka, and Eneko Agirre. 2018 · 2018
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What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau, German Kruszewski, Guillaume Lample, Loic Barrault, and Marco Baroni. 2018 · 2018
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Unsupervised natural language generation with denoising autoencoders
Markus Freitag and Scott Roy. 2018 · 2018
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Learning to encode text as human-readable summaries using generative adversarial networks
Yau-Shian Wang and Hung-Yi Lee. 2018 · 2018
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