Computer Laboratory

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.

  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}