Generating extracts with genetic algorithms

Authors:
Enrique Alfonseca;Pilar Rodríguez
Affiliations:
Computer Science Department, Universidad Autónoma de Madrid, Madrid, Spain;Computer Science Department, Universidad Autónoma de Madrid, Madrid, Spain
Venue:
ECIR'03 Proceedings of the 25th European conference on IR research
Year:
2003

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Abstract

This paper describes an application of genetic algorithms for text summarisation. We have built a sentence extraction algorithm that overcomes some of the drawbacks of traditional sentence extractors, and takes into consideration different features of the summaries. The fitness function can be easily modified in order to incorporate features such as user modelling and adaptation. The system has been evaluated with standard procedures, and the obtained results are very good.