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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; Ramisch, Carlos. - : MIT Press, 2019 Abstract: Nominal compounds such as red wine and nut case display a continuum of compositionality, with varying contributions from the components of the compound to its semantics. This article proposes a framework for compound compositionality prediction using distributional semantic models, evaluating to what extent they capture idiomaticity compared to human judgments. For evaluation, we introduce datasets containing human judgments in three languages: English, French and Portuguese. The results obtained reveal a high agreement between the models and human predictions, suggesting that they are able to incorporate information about idiomaticity. We also present an in-depth evaluation of various factors that can affect prediction, such as model and corpus parameters and compositionality operations. General crosslingual analyses reveal the impact of morphological variation and corpus size in the ability of the model to predict compositionality, and of a uniform combination of the components for best results. Keyword: P Philology. Linguistics; QA75 Electronic computers. Computer science URL: http://repository.essex.ac.uk/22999/7/coli_a_00341.pdf https://doi.org/10.1162/coli_a_00341 http://repository.essex.ac.uk/22999/ BASE Hide details 5 Similarity Measures for the Detection of Clinical Conditions with Verbal Fluency Tasks Paula, Felipe; Wilkens, Rodrigo; Idiart, Marco. - : Association for Computational Linguistics, 2018 BASE Show 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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