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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
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22
Filtering and measuring the intrinsic quality of human compositionality judgments
Ramisch, C.; Cordeiro, S.; Villavicencio, A.. - : Association for Computational Linguistics, 2016
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23
Multiword expressions in child language
Wilkens, R.; Idiart, M.; Villavicencio, A.. - : European Language Resources Association (ELRA), 2016
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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
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25
B2SG: a TOEFL-like task for Portuguese
Wilkens, R.; Zilio, L.; Ferreira, E.. - : European Language Resources Association (ELRA), 2016
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26
Predicting the compositionality of nominal compounds: Giving word embeddings a hard time
Cordeiro, S.; Ramisch, C.; Idiart, M.. - : Association for Computational Linguistics, 2016
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27
Matrix factorization using window sampling and negative sampling for improved word representations
Salle, A.; Idiart, M.; Villavicencio, A.. - : Association for Computational Linguistics, 2016
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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
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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
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30
Nothing like good old frequency: Studying context filters for distributional thesauri
Padró, M.; Idiart, M.; Ramisch, C.. - : Association for Computational Linguistics, 2014
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31
Language acquisition and probabilistic models : keeping it simple
Villavicencio, A.; Malioutov, I.; Idiart, M.. - : Association for Computational Linguistics (ACL), 2013
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32
Alignment-based extraction of multiword expressions
Abstract: Due to idiosyncrasies in their syntax, semantics or frequency, Multiword Expressions (MWEs) have received special attention from the NLP community, as the methods and techniques developed for the treatment of simplex words are not necessarily suitable for them. This is certainly the case for the automatic acquisition of MWEs from corpora. A lot of effort has been directed to the task of automatically identifying them, with considerable success. In this paper, we propose an approach for the identification of MWEs in a multilingual context, as a by-product of a word alignment process, that not only deals with the identification of possible MWE candidates, but also associates some multiword expressions with semantics. The results obtained indicate the feasibility and low costs in terms of tools and resources demanded by this approach, which could, for example, facilitate and speed up lexicographic work.
URL: https://doi.org/10.1007/s10579-009-9097-9
http://opus.bath.ac.uk/18664/
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33
Prepositions in Applications: A Survey and Introduction to the Special Issue
Baldwin, T; Kordoni, V; Villavicencio, A. - : MIT PRESS, 2009
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34
Portuguese: Corpora, coordination and agreement
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