Constructing Semantic Space Models from Parsed Corpora

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.

• Type: Conference
• Year: 2003
• Where: ACL
• Authors: Sebastian Padó, Mirella Lapata
• Keywords: ACL 2003, ACL 2007, Lexical Meaning, Semantic Spaces, Traditional Vector-based Models