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Multilingual enrichment of disease biomedical ontologies ...
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SLICE: Supersense-based Lightweight Interpretable Contextual Embeddings ...
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24 |
Edition 1.2 of the PARSEME Shared Task on Semi-supervised Identification of Verbal Multiword Expressions ...
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Seen2Unseen at PARSEME Shared Task 2020: All Roads do not Lead to Unseen Verb-Noun VMWEs ...
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Proceedings of the Joint Workshop on Multiword Expressions and Electronic Lexicons ...
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Proceedings of the Joint Workshop on Multiword Expressions and Electronic Lexicons ...
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Eliciting specialized frames from corpora using argument-structure extraction techniques
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In: ISSN: 0929-9971 ; Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication ; https://hal.archives-ouvertes.fr/hal-02318280 ; Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication , John Benjamins Publishing, 2019, 25 (1), pp.1-31. ⟨10.1075/term.00026.san⟩ (2019)
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Without lexicons, multiword expression identification will never fly: A position statement
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In: Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019) ; Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019) ; https://hal.archives-ouvertes.fr/hal-02318241 ; Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019), Aug 2019, Florence, Italy. pp.79 - 91, ⟨10.18653/v1/W19-5110⟩ (2019)
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Statistical MWE-aware parsing
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In: Representation and parsing of multiword expressions: Current trends ; https://hal.archives-ouvertes.fr/hal-02318231 ; Yannick Parmentier; Jakub Waszczuk. Representation and parsing of multiword expressions: Current trends, 3, Language Science Press, pp.147-182, 2019, Phraseology and Multiword Expressons, ⟨10.5281/zenodo.2579043⟩ (2019)
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The Impact of Word Representations on Sequential Neural MWE Identification
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In: Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019) ; Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019) ; https://hal.archives-ouvertes.fr/hal-02318287 ; Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019), Aug 2019, Florence, Italy. pp.169 - 175, ⟨10.18653/v1/W19-5121⟩ (2019)
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32 |
Literal Occurrences of Multiword Expressions: Rare Birds That Cause a Stir
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In: ISSN: 1804-0462 ; The Prague Bulletin of Mathematical Linguistics ; https://hal.archives-ouvertes.fr/hal-02106263 ; The Prague Bulletin of Mathematical Linguistics, Univerzita Karlova v Praze, 2019, ⟨10.2478/pralin-2019-0001⟩ (2019)
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33 |
Typological Features for Multilingual Delexicalised Dependency Parsing
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In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-02278897 ; 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Jun 2019, Minneapolis, United States. pp.3919-3930, ⟨10.18653/v1/N19-1393⟩ (2019)
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Unsupervised Compositionality Prediction of Nominal Compounds
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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)
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Abstract:
International audience ; 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 data sets 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.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
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URL: https://hal.archives-ouvertes.fr/hal-02318196 https://hal.archives-ouvertes.fr/hal-02318196/file/coli_a_00341.pdf https://doi.org/10.1162/coli_a_00341 https://hal.archives-ouvertes.fr/hal-02318196/document
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37 |
Multilingual corpus of literal occurrences of multiword expressions
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38 |
Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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Representation and parsing of multiword expressions: Current trends
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In: Language Science Press; (2019)
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