Paper: Constructing Semantic Space Models From Parsed Corpora

ACL ID P03-1017
Title Constructing Semantic Space Models From Parsed Corpora
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2003
Authors

Traditional vector-based models use word co-occurrence counts from large corpora to represent lexical meaning. In this pa- per we present a novel approach for con- structing semantic spaces that takes syn- tactic relations into account. We introduce a formalisation for this class of models and evaluate their adequacy on two mod- elling tasks: semantic priming and auto- matic discrimination of lexical relations.