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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 – 6 of 6 1 Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings Zanon Boito, Marcely; Villavicencio, Aline; Besacier, Laurent In: Interspeech 2019 ; https://hal.archives-ouvertes.fr/hal-02193867 ; Interspeech 2019, Sep 2019, Graz, Austria (2019) BASE Show details 2 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 3 How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages Zanon Boito, Marcely; Villavicencio, Aline; Besacier, Laurent In: Journées Scientifiques du Groupement de Recherche: Linguistique Informatique, Formelle et de Terrain (LIFT). ; https://hal.archives-ouvertes.fr/hal-02895895 ; Journées Scientifiques du Groupement de Recherche: Linguistique Informatique, Formelle et de Terrain (LIFT)., Nov 2019, Orléans, France (2019) BASE Show details 4 How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages ... Boito, Marcely Zanon; Villavicencio, Aline; Besacier, Laurent. - : arXiv, 2019 BASE Show details 5 CogniVal: A Framework for Cognitive Word Embedding Evaluation de la Torre, Antonio; Langer, Nicolas; Zhang, Ce... In: Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL) (2019) BASE Show details 6 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

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