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, MARCO
Penultimo
;
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.
No
paper
Language and Linguistics; Linguistics and Language
English
51st Annual Meeting of the Association for Computational Linguistics, ACL 2013
9781937284510
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.
Bernardi, R; Dinu, G; Marelli, M; Baroni, M
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/141644
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
Social impact