Sebastian Padó and Mirella Lapata. 2003 Constructing Semantic Space Models from Parsed Corpora. In Proceedings of the 41st Meeting of the Association of Computational Linguistics, 128-135. Sapporo.
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.
@InProceedings{Pado:Lapata:03,
author = {Sebastian Pad\'{o} and Mirella Lapata},
title = {Constructing Semantic Space Models from Parsed Corpora},
crossref = {ACL:03},
pages = {126--135}
}
@Proceedings{ACL:03,
title = {Proceedings of the 41st Annual Meeting of the
Association for Computational Linguistics},
booktitle = {Proceedings of the 41st Annual Meeting of the
Association for Computational Linguistics},
address = {Sapporo, Japan},
year = 2003
}