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We train multi-task autoencoders on linguistic tasks and analyze the learned hidden sentence representations.
Nltk: The natural language toolkit
Edward Loper and Steven Bird · 2002
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Europarl: A Parallel Corpus for Statistical Machine Translation
Philipp Koehn · 2005
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Gregory S. Corrado, and Jeffrey Dean · 2013
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le · 2014
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Distributed representations of sentences and documents
Quoc V. Le and Tomas Mikolov · 2014
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Multi-task sequence to sequence learning
Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, and Lukasz Kaiser · 2015
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Exploiting linguistic resources for neural machine translation using multi-task learning
Jan Niehues and Eunah Cho · 2017
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Unsupervised neural machine translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre, and Kyunghyun Cho · 2017
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