Cordeiro, Silvio and Villavicencio, Aline and Idiart, Marco and Ramisch, Carlos (2019) Unsupervised Compositionality Prediction of Nominal Compounds. Computational Linguistics, 45 (1). pp. 1-57. DOI https://doi.org/10.1162/coli_a_00341
Cordeiro, Silvio and Villavicencio, Aline and Idiart, Marco and Ramisch, Carlos (2019) Unsupervised Compositionality Prediction of Nominal Compounds. Computational Linguistics, 45 (1). pp. 1-57. DOI https://doi.org/10.1162/coli_a_00341
Cordeiro, Silvio and Villavicencio, Aline and Idiart, Marco and Ramisch, Carlos (2019) Unsupervised Compositionality Prediction of Nominal Compounds. Computational Linguistics, 45 (1). pp. 1-57. DOI https://doi.org/10.1162/coli_a_00341
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.
Item Type: | Article |
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Subjects: | P Language and Literature > P Philology. Linguistics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 01 Nov 2018 11:49 |
Last Modified: | 30 Oct 2024 16:48 |
URI: | http://repository.essex.ac.uk/id/eprint/22999 |
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Filename: coli_a_00341.pdf
Licence: Creative Commons: Attribution-Noncommercial-No Derivative Works 3.0