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COLING
2010

Topic Models for Meaning Similarity in Context

13 years 5 months ago
Topic Models for Meaning Similarity in Context
Recent work on distributional methods for similarity focuses on using the context in which a target word occurs to derive context-sensitive similarity computations. In this paper we present a method for computing similarity which builds vector representations for words in context by modeling senses as latent variables in a large corpus. We apply this to the Lexical Substitution Task and we show that our model significantly outperforms typical distributional methods.
Georgiana Dinu, Mirella Lapata
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2010
Where COLING
Authors Georgiana Dinu, Mirella Lapata
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