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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 Hits 1 – 15 of 15 1 SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding ... Madabushi, Harish Tayyar; Gow-Smith, Edward; Garcia, Marcos. - : arXiv, 2022 BASE Show details 2 Assessing the Representations of Idiomaticity in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Carolina; Garcia, Marcos. - : Underline Science Inc., 2021 BASE Show details 3 Unsupervised Compositionality Prediction of Nominal Compounds Cordeiro, Silvio; Villavicencio, Aline; Idiart, Marco... In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02318196 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2019, 45 (1), pp.1-57. ⟨10.1162/coli_a_00341⟩ (2019) BASE Show details 4 Unsupervised Compositionality Prediction of Nominal Compounds Cordeiro, Silvio; Villavicencio, Aline; Idiart, Marco. - : MIT Press, 2019 BASE Show details 5 Similarity Measures for the Detection of Clinical Conditions with Verbal Fluency Tasks Paula, Felipe; Wilkens, Rodrigo; Idiart, Marco; Villavicencio, Aline. - : Association for Computational Linguistics, 2018 Abstract: Semantic Verbal Fluency tests have been used in the detection of certain clinical conditions, like Dementia. In particular, given a sequence of semantically related words, a large number of switches from one semantic class to another has been linked to clinical conditions. In this work, we investigate three similarity measures for automatically identify switches in semantic chains: semantic similarity from a manually constructed resource, and word association strength and semantic relatedness, both calculated from corpora. This information is used for building classifiers to distinguish healthy controls from clinical cases with early stages of Alzheimer’s Disease and MildCognitive Deficits. The overall results indicate that for clinical conditions the classifiers that use these similarity measures outperform those that use a gold standard taxonomy. Keyword: P Philology. Linguistics; QA75 Electronic computers. Computer science URL: http://aclweb.org/anthology/N18-2037 http://repository.essex.ac.uk/23000/ http://repository.essex.ac.uk/23000/1/document.pdf BASE Hide details 6 Rating Distributions and Bayesian Inference. Enhancing Cognitive Models of Spatial Language Use Schultheis, Holger; Poibeau, Thierry; Lenci, Alessandro. - : Association for Computational Linguistics, 2018 BASE Show details 7 LexSubNC: a Dataset of Lexical Substitution for Nominal Compounds Wilkens, Rodrigo; Zilio, Leonardo; Cordeiro, Silvio... In: Proceedings of the 12th International Conference on Computational Semantics (IWCS 2017) - Short papers ; https://hal.archives-ouvertes.fr/hal-01795956 ; Proceedings of the 12th International Conference on Computational Semantics (IWCS 2017) - Short papers, 2017, Montpellier, France (2017) BASE Show details 8 How Naked is the Naked Truth? A Multilingual Lexicon of Nominal Compound Compositionality Ramisch, Carlos; Cordeiro, Silvio; Zilio, Leonardo... In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) ; https://hal.archives-ouvertes.fr/hal-01459911 ; Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2016, Berlin, Germany. pp.156--161, ⟨10.18653/v1/P16-2026⟩ (2016) BASE Show details 9 Predicting the Compositionality of Nominal Compounds: Giving Word Embeddings a Hard Time Cordeiro, Silvio; Ramisch, Carlos; Idiart, Marco... In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ; https://hal.archives-ouvertes.fr/hal-01459914 ; Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2016, Berlin, Germany. pp.1986--1997, ⟨10.18653/v1/P16-1187⟩ (2016) BASE Show details 10 Bayesian language change models and a general framework Proença, Matheus de Carvalho. - 2013 BASE Show details 11 Bayesian language change models and a general framework Proença, Matheus de Carvalho. - 2013 BASE Show details 12 Picking them up and Figuring them out: Verb-Particle Constructions, Noise and Idiomaticity Ramisch, Carlos; Villavicencio, Aline; Moura, Leonardo... In: Proceedings of the Twelfth Conference on Natural Language Learning (CoNLL 2008) ; https://hal.archives-ouvertes.fr/hal-01200612 ; Proceedings of the Twelfth Conference on Natural Language Learning (CoNLL 2008), 2008, Manchester, UK, Unknown Region. pp.49--56 (2008) BASE Show details 13 A verb learning model driven by syntactic constructions ; Um modelo de aquisição de verbos guiado por construções sintáticas Machado, Mario Lúcio Mesquita. - 2008 BASE Show details 14 A verb learning model driven by syntactic constructions ; Um modelo de aquisição de verbos guiado por construções sintáticas Machado, Mario Lúcio Mesquita. - 2008 BASE Show details 15 Validation and Evaluation of Automatically Acquired Multiword Expressions for Grammar Engineering Villavicencio, Aline; Kordoni, Valia; Zhang, Yi... In: Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) ; https://hal.archives-ouvertes.fr/hal-01200614 ; Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), 2007, Prague, Czech Republic. pp.1034--1043 (2007) BASE Show details

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