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There is a lot of research interest in encoding variable length sentences into fixed length vectors, in a way that preserves the sentence meanings.
Matching to remove bias in observational studies
Donald B Rubin · 1973
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Distributed representations, simple recurrent networks, and grammatical structure
Jeffrey L Elman · 1991
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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NLTK: the natural language toolkit
Steven Bird · 2006
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Adadelta: an adaptive learning rate method
Matthew D Zeiler · 2006
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Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E Hinton · 2010
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Torch7: A matlab-like environment for machine learning
Ronan Collobert, Koray Kavukcuoglu, and Clément Farabet · 2011
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Adaptive subgradient methods for online learning and stochastic optimization
John Duchi, Elad Hazan, and Yoram Singer · 2011
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Deep sparse rectifier neural networks
Xavier Glorot, Antoine Bordes, and Yoshua Bengio · 2011
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Generating text with recurrent neural networks
Ilya Sutskever, James Martens, and Geoffrey E Hinton · 2011
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Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2012
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Lecture 6.5-rmsprop
Tijmen Tieleman and Geoffrey Hinton · 2012
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Speech recognition with deep recurrent neural networks
Alex Graves, Abdel-rahman Mohamed, and Geoffrey Hinton · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors
Semi-supervised sequence learning
Andrew M Dai and Quoc V Le · 2015
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Visualizing and understanding recurrent networks
Andrej Karpathy, Justin Johnson, and Fei-Fei Li · 2015
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Skip-thought vectors
Ryan Kiros, Yukun Zhu, Ruslan R Salakhutdinov, Richard Zemel, Raquel Urtasun, Antonio Torralba, and Sanja Fidler · 2015
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rnn: Recurrent library for torch
Nicholas Léonard, Sagar Waghmare, and Yang Wang · 2015
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Improving distributional similarity with lessons learned from word embeddings
Omer Levy, Yoav Goldberg, and Ido Dagan · 2015
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A hierarchical neural autoencoder for paragraphs and documents
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Marco Baroni, Georgiana Dinu, and Germán Kruszewski · 2014
Cited alongside, same era.
Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
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Linguistic regularities in sparse and explicit word representations
Omer Levy and Yoav Goldberg · 2014
Cited alongside, same era.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc VV Le · 2014
Cited alongside, same era.
Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean
Cited in the paper.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean
Cited in the paper.
Jiwei Li, Minh-Thang Luong, and Dan Jurafsky · 2015
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Learning Distributed Representations of Sentences from Unlabelled Data
Felix Hill, Kyunghyun Cho, and Anna Korhonen · 2016
Closest in time.
Representation of linguistic form and function in recurrent neural networks
Ákos Kádár, Grzegorz Chrupała, and Afra Alishahi · 2016
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Allen Schmaltz, Alexander M Rush, and Stuart M Shieber · 2016
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