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Title: Part-of-speech tagging using evolutionary computation
Authors: Silva, Ana Paula
Silva, Arlindo
Pimenta Rodrigues, Irene
Editors: Terrazas, German
Otero, Fernando E.
Masegosa, B.
Antonio, D.
Keywords: Processamento de Língua Natural
algoritmos genáticos
Issue Date: 2014
Publisher: Springer
Citation: Ana Paula Silva, Arlindo Silva, and Irene Rodrigues. Part-of-speech tagging using evolutionary computation. In German Terrazas, Fernando E. B. Otero, and Antonio D. Masegosa, editors, Nature Inspired Cooperative Strategies for Optimization - Learning, Optimization and Interdisciplinary Applications, Canterbury, UK, September 2-4, 2013, pages 167-178. Springer, 2014.
Abstract: Part-of-speech tagging is a task of considerable importance in the field of natural language processing. Its purpose is to automatically tag the words of a text with labels that designate the appropriate parts-of-speech. The approach proposed in this paper divides the problem into two tasks: a learning task and an optimization task. Algorithms from the field of evolutionary computation were adopted to tackle each of those tasks. We emphasize the use of swarm intelligence, not only for the good results achieved, but also because it is one of the first applications of such algorithms to this problem. This approach was designed with the aim of being easily extended to other natural language processing tasks that share characteristics with the part-of-speech tagging problem. The results obtained in two different English corpora are among the best published.
Type: bookPart
Appears in Collections:INF - Publicações - Capítulos de Livros

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