Paper: Inducing Latent Semantic Relations for Structured Distributional Semantics

ACL ID C14-1066
Title Inducing Latent Semantic Relations for Structured Distributional Semantics
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

Structured distributional semantic models aim to improve upon simple vector space models of semantics by hypothesizing that the meaning of a word is captured more effectively through its relational ? rather than its raw distributional ? signature. In accordance, they extend the vector space paradigm by structuring elements with relational information that decompose distributional signatures over discrete relation dimensions. However, the number and nature of these relations remains an open research question, with most previous work in the literature employing syn- tactic dependencies as surrogates for truly semantic relations. In this paper we propose a novel structured distributional semantic model with latent relation dimensions, and instantiate it using latent relational analysis. Evalu...