Diarmuid Ó Séaghdha
Semantic Classification with Distributional Kernels
Diarmuid Ó Séaghdha and Ann Copestake, Coling 2008
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 tasks: 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.
@InProceedings{OSeaghdha:Copestake:08,
author = {Diarmuid {\'O S\'eaghdha} and Ann Copestake},
title = {Semantic classification with distributional kernels},
booktitle = {Proceedings of the 22nd International Conference on Computational Linguistics (COLING-08)},
year = 2008,
address = {Manchester, UK}
}