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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 Page: 1 2 3 Hits 41 – 58 of 58 41 Definiteness across languages Aguilar-Guevara, Ana; Pozas Loyo, Julia; Vázquez-Rojas Maldonado, Violeta. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 42 Definiteness across languages Aguilar-Guevara, Ana; Pozas Loyo, Julia; Vázquez-Rojas Maldonado, Violeta. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 43 Definiteness across languages Aguilar-Guevara, Ana; Pozas Loyo, Julia; Vázquez-Rojas Maldonado, Violeta. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 44 Definiteness across languages Aguilar-Guevara, Ana; Pozas Loyo, Julia; Vázquez-Rojas Maldonado, Violeta. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 45 Definiteness across languages Aguilar-Guevara, Ana; Pozas Loyo, Julia; Vázquez-Rojas Maldonado, Violeta. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 46 Definiteness across languages Aguilar-Guevara, Ana; Pozas Loyo, Julia; Vázquez-Rojas Maldonado, Violeta. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 47 Definiteness across languages Aguilar-Guevara, Ana; Pozas Loyo, Julia; Vázquez-Rojas Maldonado, Violeta. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 48 Definiteness across languages Aguilar-Guevara, Ana; Pozas Loyo, Julia; Vázquez-Rojas Maldonado, Violeta. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 49 Definiteness across languages Aguilar-Guevara, Ana; Pozas Loyo, Julia; Vázquez-Rojas Maldonado, Violeta. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 50 Definiteness across languages Aguilar-Guevara, Ana; Pozas Loyo, Julia; Vázquez-Rojas Maldonado, Violeta. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 51 Definiteness across languages Aguilar-Guevara, Ana; Pozas Loyo, Julia; Vázquez-Rojas Maldonado, Violeta. - : Language Science Press, 2019 In: Language Science Press; (2019) BASE Show details 52 A morpho-semantic account of weak definites and bare institutional singulars in English ... Williams, Adina. - : Zenodo, 2019 BASE Show details 53 A morpho-semantic account of weak definites and bare institutional singulars in English ... Williams, Adina. - : Zenodo, 2019 BASE Show details 54 Verb Argument Structure Alternations in Word and Sentence Embeddings Kann, Katharina; Warstadt, Alex; Williams, Adina... In: Proceedings of the Society for Computation in Linguistics (2019) BASE Show details 55 Representing Relationality: MEG Studies on Argument Structure Williams, Adina. - : New York University, 2018 BASE Show details 56 XNLI: Evaluating Cross-lingual Sentence Representations ... Conneau, Alexis; Lample, Guillaume; Rinott, Ruty. - : arXiv, 2018 BASE Show details 57 Verb Argument Structure Alternations in Word and Sentence Embeddings ... Kann, Katharina; Warstadt, Alex; Williams, Adina. - : arXiv, 2018 BASE Show details 58 The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations ... Nangia, Nikita; Williams, Adina; Lazaridou, Angeliki; Bowman, Samuel R.. - : arXiv, 2017 Abstract: This paper presents the results of the RepEval 2017 Shared Task, which evaluated neural network sentence representation learning models on the Multi-Genre Natural Language Inference corpus (MultiNLI) recently introduced by Williams et al. (2017). All of the five participating teams beat the bidirectional LSTM (BiLSTM) and continuous bag of words baselines reported in Williams et al.. The best single model used stacked BiLSTMs with residual connections to extract sentence features and reached 74.5% accuracy on the genre-matched test set. Surprisingly, the results of the competition were fairly consistent across the genre-matched and genre-mismatched test sets, and across subsets of the test data representing a variety of linguistic phenomena, suggesting that all of the submitted systems learned reasonably domain-independent representations for sentence meaning. ... : 10 pages, 1 figure, 6 tables, in Proceedings of The Second Workshop on Evaluating Vector Space Representations for NLP (RepEval 2017) ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1707.08172 https://arxiv.org/abs/1707.08172 BASE Hide details Page: 1 2 3

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