@inproceedings{299c4c09459149ef8f17a4b066578154,
title = "Chunking natural language texts using evolutionary methods",
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.",
author = "John Atkinson and Juan Matamala",
year = "2010",
doi = "10.1007/978-1-84882-983-1_20",
language = "English",
isbn = "9781848829824",
series = "Research and Development in Intelligent Systems XXVI: Incorporating Applications and Innovations in Intelligent Systems XVII",
publisher = "Springer London",
pages = "277--290",
booktitle = "Research and Development in Intelligent Systems XXVI",
note = "29th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2009 ; Conference date: 15-12-2009 Through 17-12-2009",
}