Evolving New Lexical Association Measures Using Genetic Programming

Automatic extraction of collocations from large corpora has been the focus of many research efforts. Most approaches concentrate on improving and combining known lexical association measures. In this paper, we describe a genetic programming approach for evolving new association measures, which is not limited to any specific language, corpus, or type of collocation. Our preliminary experimental results show that the evolved measures outperform three known association measures.

• Type: Conference
• Year: 2008
• Where: ACL
• Authors: Jan Snajder, Bojana Dalbelo Basic, Sasa Petrovic, Ivan Sikiric
• Keywords: ACL 2008, Association Measures, Computational Linguistics, Known Association Measures, Lexical Association Measures