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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 Hits 21 – 34 of 34 21 Verblexpor: A lexical resource with semantic roles for Portuguese Villavicencio, A.; Finatto, M.J.B.; Zilio, L.. - : European Language Resources Association (ELRA), 2016 BASE Show details 22 Filtering and measuring the intrinsic quality of human compositionality judgments Ramisch, C.; Cordeiro, S.; Villavicencio, A.. - : Association for Computational Linguistics, 2016 BASE Show details 23 Multiword expressions in child language Wilkens, R.; Idiart, M.; Villavicencio, A.. - : European Language Resources Association (ELRA), 2016 BASE Show details 24 mwetoolkit+sem: Integrating word embeddings in the mwetoolkit for semantic MWE processing Cordeiro, S.; Ramisch, C.; Villavicencio, A.. - : European Language Resources Association (ELRA), 2016 BASE Show details 25 B2SG: a TOEFL-like task for Portuguese Wilkens, R.; Zilio, L.; Ferreira, E.. - : European Language Resources Association (ELRA), 2016 BASE Show details 26 Predicting the compositionality of nominal compounds: Giving word embeddings a hard time Cordeiro, S.; Ramisch, C.; Idiart, M.; Villavicencio, A.. - : Association for Computational Linguistics, 2016 Abstract: Distributional semantic models (DSMs) are often evaluated on artificial similarity datasets containing single words or fully compositional phrases. We present a large-scale multilingual evaluation of DSMs for predicting the degree of semantic compositionality of nominal compounds on 4 datasets for English and French. We build a total of 816 DSMs and perform 2,856 evaluations using word2vec, GloVe, and PPMI-based models. In addition to the DSMs, we compare the impact of different parameters, such as level of corpus preprocessing, context window size and number of dimensions. The results obtained have a high correlation with human judgments, being comparable to or outperforming the state of the art for some datasets (Spearman's ρ=.82 for the Reddy dataset). URL: http://eprints.whiterose.ac.uk/153562/ BASE Hide details 27 Matrix factorization using window sampling and negative sampling for improved word representations Salle, A.; Idiart, M.; Villavicencio, A.. - : Association for Computational Linguistics, 2016 BASE Show details 28 Estratégias de evocação lexical com critério semântico em adultos após acidente vascular cerebral no hemisfério direito / Semantic verbal fluency strategies in patients after a right-hemisphere stroke Becker, N.; Müller, J.D.L.; Rodrigues, J.D.C.. - : ediPUCRS, 2014 BASE Show details 29 Comparing the quality of focused crawlers and of the translation resources obtained from them Laranjeira, B.R.; Moreira, V.P.; Villavicencio, A.. - : European Language Resources Association (ELRA), 2014 BASE Show details 30 Nothing like good old frequency: Studying context filters for distributional thesauri Padró, M.; Idiart, M.; Ramisch, C.. - : Association for Computational Linguistics, 2014 BASE Show details 31 Language acquisition and probabilistic models : keeping it simple Villavicencio, A.; Malioutov, I.; Idiart, M.. - : Association for Computational Linguistics (ACL), 2013 BASE Show details 32 Alignment-based extraction of multiword expressions Nunes, M D V; Caseli, H D; Villavicencio, A. - 2010 BASE Show details 33 Prepositions in Applications: A Survey and Introduction to the Special Issue Baldwin, T; Kordoni, V; Villavicencio, A. - : MIT PRESS, 2009 BASE Show details 34 Portuguese: Corpora, coordination and agreement Arnold, D; Sadler, L; Villavicencio, A. - 2008 BASE Show details Page: 1 2

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