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1
What you can cram into a single \$&!#* vector: Probing sentence embeddings for linguistic properties
In: ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01898412 ; ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Jul 2018, Melbourne, Australia. pp.2126-2136 (2018)
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2
XNLI: Evaluating Cross-lingual Sentence Representations ...
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What you can cram into a single vector: Probing sentence embeddings for linguistic properties ...
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4
Fader Networks: Manipulating Images by Sliding Attributes
In: 31st Conference on Neural Information Processing Systems (NIPS 2017) ; https://hal.archives-ouvertes.fr/hal-02275215 ; 31st Conference on Neural Information Processing Systems (NIPS 2017), Dec 2017, Long Beach, CA, United States. pp.5969-5978 (2017)
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5
Word Translation Without Parallel Data ...
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Massively Multilingual Word Embeddings ...
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7
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning ...
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8
What you can cram into a single $&!#* vector: probing sentence embeddings for linguistic properties
Kruszewski, German; Barrault, Loïc; Baroni, Marco. - : ACL (Association for Computational Linguistics)
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9
Neural architectures for named entity recognition
Kawakami, Kazuya; Ballesteros, Miguel; Lample, Guillaume. - : ACL (Association for Computational Linguistics)
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