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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...6 7 8 9 10 Hits 181 – 186 of 186 181 Survey on the Use of Typological Information in Natural Language Processing ... O'Horan, Helen; Berzak, Yevgeni; Vulić, Ivan. - : arXiv, 2016 BASE Show details 182 Automatic Selection of Context Configurations for Improved Class-Specific Word Representations ... Vulić, Ivan; Schwartz, Roy; Rappoport, Ari. - : arXiv, 2016 BASE Show details 183 HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment ... Vulić, Ivan; Gerz, Daniela; Kiela, Douwe; Hill, Felix; Korhonen, Anna. - : arXiv, 2016 Abstract: We introduce HyperLex - a dataset and evaluation resource that quantifies the extent of of the semantic category membership, that is, type-of relation also known as hyponymy-hypernymy or lexical entailment (LE) relation between 2,616 concept pairs. Cognitive psychology research has established that typicality and category/class membership are computed in human semantic memory as a gradual rather than binary relation. Nevertheless, most NLP research, and existing large-scale invetories of concept category membership (WordNet, DBPedia, etc.) treat category membership and LE as binary. To address this, we asked hundreds of native English speakers to indicate typicality and strength of category membership between a diverse range of concept pairs on a crowdsourcing platform. Our results confirm that category membership and LE are indeed more gradual than binary. We then compare these human judgements with the predictions of automatic systems, which reveals a huge gap between human performance and state-of-the-art ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1608.02117 https://arxiv.org/abs/1608.02117 BASE Hide details 184 Bilingual Distributed Word Representations from Document-Aligned Comparable Data ... Vulić, Ivan; Moens, Marie-Francine. - : arXiv, 2015 BASE Show details 185 TKLBLIIR: Detecting Twitter paraphrases with TweetingJay Karan, Mladen; Glavaš, Goran; Šnajder, Jan. - : Association for Computational Linguistics, 2015 BASE Show details 186 TermWise: Leveraging Big Data for Terminological Support in Legal Translation Heylen, Kris; Bond, Stephen; De Hertog, Dirk... In: Terminology and Knowledge Engineering, TKE 2014 ; Terminology and Knowledge Engineering 2014 ; https://hal.archives-ouvertes.fr/hal-01005842 ; Terminology and Knowledge Engineering 2014, Jun 2014, Berlin, Germany. 10 p (2014) BASE Show details Page: 1...6 7 8 9 10

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