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Constructing semantic space models from parsed corpora

by: S Pado, M Lapata

(2003)

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Abstract

Traditional vector-based models use word co-occurrence counts from large corpora to represent lexical meaning. In this paper we present a novel approach for constructing semantic spaces that takes syntactic relations into account. We introduce a formalisation for this class of models and evaluate their adequacy on two modelling tasks: semantic priming and automatic discrimination of lexical relations.

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TY - GEN ID - citeulike:1877724 L3 - citeulike-article-id:1877724 N2 - Traditional vector-based models use word co-occurrence counts from large corpora to represent lexical meaning. In this paper we present a novel approach for constructing semantic spaces that takes syntactic relations into account. We introduce a formalisation for this class of models and evaluate their adequacy on two modelling tasks: semantic priming and automatic discrimination of lexical relations. TI - Constructing semantic space models from parsed corpora KW - dependency KW - models KW - parsing KW - semantic KW - space KW - syntactic AU - Pado, S AU - Lapata, M PY - 2003/// UR - http://citeseer.ist.psu.edu/641502.html ER -

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