Constructing Semantic Space Models from Parsed Corpora

Sebastian Padó, Mirella Lapata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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.
Original languageEnglish
Title of host publicationProceedings of the 41st Annual Meeting of the Association for Computational Linguistics
PublisherAssociation for Computational Linguistics
Pages126-135
Number of pages8
Publication statusPublished - 2003
Event 41st Annual Meeting of the Association for Computational Linguistics - Sapporo Convention Centre, Sapporo, Japan
Duration: 7 Jul 200312 Jul 2003

Conference

Conference 41st Annual Meeting of the Association for Computational Linguistics
Country/TerritoryJapan
CitySapporo
Period7/07/0312/07/03

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