Chunking natural language texts using evolutionary methods

John Atkinson, Juan Matamala

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper describes a new approach to natural-language chunking using genetic algorithms. This uses previously captured training information to guide the evolution of the model. In addition, a multi-objective optimization strategy is used to produce unique quality values for objective functions involving the internal and the external quality of chunking. Experiments and the main results obtained using the model and state-of-the-art approaches are discussed.

Original languageEnglish
Title of host publicationResearch and Development in Intelligent Systems XXVI
Subtitle of host publicationIncorporating Applications and Innovations in Intelligent Systems XVII
PublisherSpringer London
Pages277-290
Number of pages14
ISBN (Print)9781848829824
DOIs
StatePublished - 2010
Externally publishedYes
Event29th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2009 - Cambridge, United Kingdom
Duration: 15 Dec 200917 Dec 2009

Publication series

NameResearch and Development in Intelligent Systems XXVI: Incorporating Applications and Innovations in Intelligent Systems XVII

Conference

Conference29th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2009
Country/TerritoryUnited Kingdom
CityCambridge
Period15/12/0917/12/09

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