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1
Probing for idiomaticity in vector space models
Garcia, M.; Vieira, T.K.; Scarton, C.; Idiart, M.; Villavicencio, A.. - : Association for Computational Linguistics (ACL), 2021
Abstract: Contextualised word representation models have been successfully used for capturing different word usages and they may be an attractive alternative for representing idiomaticity in language. In this paper, we propose probing measures to assess if some of the expected linguistic properties of noun compounds, especially those related to idiomatic meanings, and their dependence on context and sensitivity to lexical choice, are readily available in some standard and widely used representations. For that, we constructed the Noun Compound Senses Dataset, which contains noun compounds and their paraphrases, in context neutral and context informative naturalistic sentences, in two languages: English and Portuguese. Results obtained using four types of probing measures with models like ELMo, BERT and some of its variants, indicate that idiomaticity is not yet accurately represented by contextualised models.
URL: https://eprints.whiterose.ac.uk/170754/
https://eprints.whiterose.ac.uk/170754/7/2021.eacl-main.310.pdf
https://www.aclweb.org/anthology/2021.eacl-main.310
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2
Unsupervised compositionality prediction of nominal compounds
Cordeiro, S.; Villavicencio, A.; Idiart, M.. - : MIT Press - Journals, 2019
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3
Discovering multiword expressions
Villavicencio, A.; Idiart, M.. - : Cambridge University Press (CUP), 2019
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4
Similarity Measures for the Detection of Clinical Conditions with Verbal Fluency Tasks
Paula, F.; Wilkens, R.; Idiart, M.. - : Association for Computational Linguistics, 2018
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5
How naked is the naked truth? A multilingual lexicon of nominal compound compositionality
Villavicencio, A.; Wilkens, R.; Ramisch, C.. - : Association for Computational Linguistics, 2016
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6
Multiword expressions in child language
Wilkens, R.; Idiart, M.; Villavicencio, A.. - : European Language Resources Association (ELRA), 2016
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7
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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8
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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9
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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10
Language acquisition and probabilistic models : keeping it simple
Villavicencio, A.; Malioutov, I.; Idiart, M.. - : Association for Computational Linguistics (ACL), 2013
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