Speakers of a language can construct an unlimited number of new words through morphological derivation. This is a major cause of data sparseness for corpus-based approaches to lexical semantics, such as distributional semantic models of word meaning. We adapt compositional methods originally developed for phrases to the task of deriving the distributional meaning of morphologically complex words from their parts. Semantic representations constructed in this way beat a strong baseline and can be of higher quality than representations directly constructed from corpus data. Our results constitute a novel evaluation of the proposed composition methods, in which the full additive model achieves the best performance, and demonstrate the usefulness of a compositional morphology component in distributional semantics. © 2013 Association for Computational Linguistics

Lazaridou, A., Marelli, M., Zamparelli, R., Baroni, M. (2013). Compositional-ly derived representations of morphologically complex words in distributional semantics. In ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (pp.1517-1526). Association for Computational Linguistics (ACL).

Compositional-ly derived representations of morphologically complex words in distributional semantics

MARELLI, MARCO
Secondo
;
2013

Abstract

Speakers of a language can construct an unlimited number of new words through morphological derivation. This is a major cause of data sparseness for corpus-based approaches to lexical semantics, such as distributional semantic models of word meaning. We adapt compositional methods originally developed for phrases to the task of deriving the distributional meaning of morphologically complex words from their parts. Semantic representations constructed in this way beat a strong baseline and can be of higher quality than representations directly constructed from corpus data. Our results constitute a novel evaluation of the proposed composition methods, in which the full additive model achieves the best performance, and demonstrate the usefulness of a compositional morphology component in distributional semantics. © 2013 Association for Computational Linguistics
No
paper
Language and Linguistics; Linguistics and Language
English
Annual Meeting of the Association for Computational Linguistics, ACL August 4-9
978-193728450-3
Lazaridou, A., Marelli, M., Zamparelli, R., Baroni, M. (2013). Compositional-ly derived representations of morphologically complex words in distributional semantics. In ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (pp.1517-1526). Association for Computational Linguistics (ACL).
Lazaridou, A; Marelli, M; Zamparelli, R; Baroni, M
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/141658
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