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Learning Joint Multilingual Sentence Representations with Neural Machine Translation
Holger Schwenk
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Matthijs Douze
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Paper Details:
Month: August
Year: 2017
Location: Vancouver, Canada
Venue:
Rep4NLP |
WS |
SIG: SIGREP
Citations
URL
Multi-task and Multi-lingual Joint Learning of Neural Lexical Utterance Classification based on Partially-shared Modeling
Ryo Masumura
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Tomohiro Tanaka
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Ryuichiro Higashinaka
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Hirokazu Masataki
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Yushi Aono
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XNLI: Evaluating Cross-lingual Sentence Representations
Alexis Conneau
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Ruty Rinott
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Guillaume Lample
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Adina Williams
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Samuel Bowman
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Holger Schwenk
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Veselin Stoyanov
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Multilingual Vector Representations of Words, Sentences, and Documents
Gerard de Melo
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A Corpus for Multilingual Document Classification in Eight Languages
Holger Schwenk
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Xian Li
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Identifying Semantic Divergences in Parallel Text without Annotations
Yogarshi Vyas
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Xing Niu
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Marine Carpuat
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On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference
Adam Poliak
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Yonatan Belinkov
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James Glass
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Benjamin Van Durme
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Are BLEU and Meaning Representation in Opposition?
Ondřej Cífka
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Ondřej Bojar
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Filtering and Mining Parallel Data in a Joint Multilingual Space
Holger Schwenk
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http://www.statmt.org/europarl/
https://arxiv.org/
https://arxiv.org/abs/1605.09090
https://arxiv.org/abs/1611.04503
https://arxiv.org/abs/1504.05070
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Similarity
Machine Translation
Approach
Representation Learning
Language
Multilingual
Chinese
English
Spanish
French
Arabic
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