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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 What you can cram into a single \$&!#* vector: Probing sentence embeddings for linguistic properties Conneau, Alexis; Kruszewski, German; Lample, Guillaume... 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) BASE Show details 2 XNLI: Evaluating Cross-lingual Sentence Representations ... Conneau, Alexis; Lample, Guillaume; Rinott, Ruty. - : arXiv, 2018 BASE Show details 3 What you can cram into a single vector: Probing sentence embeddings for linguistic properties ... Conneau, Alexis; Kruszewski, German; Lample, Guillaume. - : arXiv, 2018 BASE Show details 4 Fader Networks: Manipulating Images by Sliding Attributes Lample, Guillaume; Zeghidour, Neil; Usunier, Nicolas... 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) BASE Show details 5 Word Translation Without Parallel Data ... Conneau, Alexis; Lample, Guillaume; Ranzato, Marc'Aurelio. - : arXiv, 2017 BASE Show details 6 Massively Multilingual Word Embeddings ... Ammar, Waleed; Mulcaire, George; Tsvetkov, Yulia. - : arXiv, 2016 BASE Show details 7 Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning ... Tsvetkov, Yulia; Sitaram, Sunayana; Faruqui, Manaal. - : arXiv, 2016 BASE Show details 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) BASE Show details 9 Neural architectures for named entity recognition Kawakami, Kazuya; Ballesteros, Miguel; Lample, Guillaume; Dyer, Chris; Subramanian, Sandeep. - : ACL (Association for Computational Linguistics) Abstract: Comunicació presentada a la 2016 Conference of the North American Chapter of the Association for Computational Linguistics, celebrada a San Diego (CA, EUA) els dies 12 a 17 de juny 2016. ; State-of-the-art named entity recognition systems/nrely heavily on hand-crafted features and/ndomain-specific knowledge in order to learn/neffectively from the small, supervised training/ncorpora that are available. In this paper, we/nintroduce two new neural architectures—one/nbased on bidirectional LSTMs and conditional/nrandom fields, and the other that constructs/nand labels segments using a transition-based/napproach inspired by shift-reduce parsers./nOur models rely on two sources of information/nabout words: character-based word/nrepresentations learned from the supervised/ncorpus and unsupervised word representations/nlearned from unannotated corpora. Our/nmodels obtain state-of-the-art performance in/nNER in four languages without resorting to/nany language-specific knowledge or resources/nsuch as gazetteers. ; This work was sponsored in part by the Defense/nAdvanced Research Projects Agency (DARPA)/nInformation Innovation Office (I2O) under the/nLow Resource Languages for Emergent Incidents/n(LORELEI) program issued by DARPA/I2O under/nContract No. HR0011-15-C-0114. Miguel Ballesteros/nis supported by the European Commission under/nthe contract numbers FP7-ICT-610411 (project/nMULTISENSOR) and H2020-RIA-645012 (project/nKRISTINA). Keyword: Lingüística computacional; Tractament del llenguatge natural (Informàtica) URL: http://hdl.handle.net/10230/27725 BASE Hide details

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