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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; Bowman, Samuel R.. - : arXiv, 2018 Abstract: Verbs occur in different syntactic environments, or frames. We investigate whether artificial neural networks encode grammatical distinctions necessary for inferring the idiosyncratic frame-selectional properties of verbs. We introduce five datasets, collectively called FAVA, containing in aggregate nearly 10k sentences labeled for grammatical acceptability, illustrating different verbal argument structure alternations. We then test whether models can distinguish acceptable English verb-frame combinations from unacceptable ones using a sentence embedding alone. For converging evidence, we further construct LaVA, a corresponding word-level dataset, and investigate whether the same syntactic features can be extracted from word embeddings. Our models perform reliable classifications for some verbal alternations but not others, suggesting that while these representations do encode fine-grained lexical information, it is incomplete or can be hard to extract. Further, differences between the word- and ... : Accepted to SCiL 2019 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1811.10773 https://arxiv.org/abs/1811.10773 BASE Hide details 58 The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations ... Nangia, Nikita; Williams, Adina; Lazaridou, Angeliki. - : arXiv, 2017 BASE Show details Page: 1 2 3

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