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COLING
2008

Semantic Classification with Distributional Kernels

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Semantic Classification with Distributional Kernels
Distributional measures of lexical similarity and kernel methods for classification are well-known tools in Natural Language Processing. We bring these two methods together by introducing distributional kernels that compare co-occurrence probability distributions. We demonstrate the effectiveness of these kernels by presenting state-of-the-art results on datasets for three semantic classification: compound noun interpretation, identification of semantic relations between nominals and semantic classification of verbs. Finally, we consider explanations for the impressive performance of distributional kernels and sketch some promising generalisations.
Diarmuid Ó Séaghdha, Ann Copestake
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where COLING
Authors Diarmuid Ó Séaghdha, Ann Copestake
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