CUED Publications database

Counter-fitting word vectors to linguistic constraints

Mrkšić, N and Séaghdha, D and Thomson, B and Gašić, M and Rojas-Barahona, L and Su, PH and Vandyke, D and Wen, TH and Young, S (2016) Counter-fitting word vectors to linguistic constraints. In: UNSPECIFIED pp. 142-148..

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Abstract

©2016 Association for Computational Linguistics. In this work, we present a novel counter-fitting method which injects antonymy and synonymy constraints into vector space representations in order to improve the vectors' capability for judging semantic similarity. Applying this method to publicly available pre-trained word vectors leads to a new state of the art performance on the SimLex-999 dataset. We also show how the method can be used to tailor the word vector space for the downstream task of dialogue state tracking, resulting in robust improvements across different dialogue domains.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div F > Machine Intelligence
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:26
Last Modified: 12 Oct 2017 01:51
DOI: