To the top

Page Manager: Webmaster
Last update: 9/11/2012 3:13 PM

Tell a friend about this page
Print version

Enriching Word-sense Embe… - University of Gothenburg, Sweden Till startsida
To content Read more about how we use cookies on

Enriching Word-sense Embeddings with Translational Context

Conference paper
Authors Mehdi Ghanimifard
Richard Johansson
Published in Proceedings of Recent Advances in Natural Language Processing / edited by Galia Angelova, Kalina Bontcheva, Ruslan Mitkov. International Conference, Hissar, Bulgaria 7–9 September, 2015
Pages 208-215
ISSN 1313-8502
Publication year 2015
Published at Department of Swedish
Department of Philosophy, Linguistics and Theory of Science
Pages 208-215
Language en
Keywords distributional semantics, lexical semantics, word senses, parallel corpora
Subject categories Language Technology (Computational Linguistics), Computational linguistics


Vector-space models derived from corpora are an effective way to learn a representation of word meaning directly from data, and these models have many uses in practical applications. A number of unsupervised approaches have been proposed to automatically learn representations of word senses directly from corpora, but since these methods use no information but the words themselves, they sometimes miss distinctions that could be possible to make if more information were available. In this paper, we present a general framework that we call context enrichment that incorporates external information during the training of multi-sense vector-space models. Our approach is agnostic as to which external signal is used to enrich the context, but in this work we consider the use of translations as the source of enrichment. We evaluated the models trained using the translation-enriched context using several similarity benchmarks and a word analogy test set. In all our evaluations, the enriched model outperformed the purely word-based baseline soundly.

Page Manager: Webmaster|Last update: 9/11/2012

The University of Gothenburg uses cookies to provide you with the best possible user experience. By continuing on this website, you approve of our use of cookies.  What are cookies?