Title :
Evolutionary Shallow Parsing
Author :
Atkinson, J. ; Matamala, J.
Author_Institution :
Dept. of Comput. Sci., Univ. de Concepcion, Concepcion, Chile
fDate :
Nov. 30 2009-Dec. 2 2009
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;
Conference_Titel :
Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
Conference_Location :
Pisa
Print_ISBN :
978-1-4244-4735-0
DOI :
10.1109/ISDA.2009.132
