DocumentCode
2843029
Title
Evolutionary Shallow Parsing
Author
Atkinson, J. ; Matamala, J.
Author_Institution
Dept. of Comput. Sci., Univ. de Concepcion, Concepcion, Chile
fYear
2009
fDate
Nov. 30 2009-Dec. 2 2009
Firstpage
420
Lastpage
425
Abstract
In this work, a new approach to natural-language chunking using an evolutionary model is proposed. This uses previously captured training information to guide the evolution of the model. In addition, a multi-objective optimization strategy is used to produce the best solutions based on 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.
Keywords
evolutionary computation; grammars; natural language processing; optimisation; evolutionary model; evolutionary shallow parsing; multiobjective optimization strategy; natural language chunking; Application software; Data mining; Evolutionary computation; Genetic algorithms; Hidden Markov models; Intelligent systems; Space exploration; Support vector machines; Tagging; Training data; chunking; evolutionary computation; natural language parsing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
Conference_Location
Pisa
Print_ISBN
978-1-4244-4735-0
Type
conf
DOI
10.1109/ISDA.2009.132
Filename
5364902
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