Distributional models of semantics capture word meaning very effectively, and they have been recently extended to account for compositionally-obtained representations of phrases made of content words. We explore whether compositional distributional semantic models can also handle a construction in which grammatical terms play a crucial role, namely determiner phrases (DPs). We introduce a new publicly available dataset to test distributional representations of DPs, and we evaluate state-of-The-art models on this set. © 2013 Association for Computational Linguistics.
Bernardi, R., Dinu, G., Marelli, M., Baroni, M. (2013). A relatedness benchmark to test the role of determiners in compositional distributional semantics. Intervento presentato a: 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013, Sofia, bgr.
A relatedness benchmark to test the role of determiners in compositional distributional semantics
MARELLI, MARCOPenultimo
;
2013
Abstract
Distributional models of semantics capture word meaning very effectively, and they have been recently extended to account for compositionally-obtained representations of phrases made of content words. We explore whether compositional distributional semantic models can also handle a construction in which grammatical terms play a crucial role, namely determiner phrases (DPs). We introduce a new publicly available dataset to test distributional representations of DPs, and we evaluate state-of-The-art models on this set. © 2013 Association for Computational Linguistics.
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