Computer Laboratory

Diarmuid Ó Séaghdha

Using lexical and relational similarity to classify semantic relations


Diarmuid Ó Séaghdha and Ann Copestake, EACL 2009

Many methods are available for computing semantic similarity between individual words, but certain NLP tasks require the comparison of word pairs. This paper presents a kernel-based framework for application to relational reasoning tasks of this kind. The model presented here combines information about two distinct types of word pair similarity: lexical similarity and relational similarity. We present an efficient and flexible technique for implementing relational similarity and show the effectiveness of combining lexical and relational models by demonstrating state-of-the-art results on a compound noun interpretation task.

  author = 	 {Diarmuid {\'O S\'eaghdha} and Ann Copestake},
  title = 	 {Using lexical and relational similarity to classify semantic relations},
  booktitle = 	 {Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL-09)},
  year =	 2009,
  address =	 {Athens,Greece}