Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging

Author:

Araujo Lourdes

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. L. Araujo. A parallel evolutionary algorithm for stochastic natural language parsing. In Proc. of the Int. Conf. Parallel Problem Solving from Nature (PPSNVII), 2002.

2. E. Brill. Transformation-based error-driven learning and natural language processing: A case study in part of speech tagging. Computational Linguistics, 21(4), 1995.

3. E. Charniak. Statistical Language Learning. MIT press, 1993.

4. D. Cutting, J. Kupiec, J. Pedersen, and P. Sibun. A practical part-of-speech tagger. In Proc. of the Third Conf. on Applied Natural Language Processing. Association for Computational Linguistics, 1992.

5. D.E. Goldberg, Korb B., and Deb K. Messy genetic algorithms: motivation, analysis, and first results. Complex Systems, 3:493–530, 1989.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Novel harmony search-based algorithms for part-of-speech tagging;Knowledge and Information Systems;2014-01-11

2. Metaheuristics for Natural Language Tagging;Genetic and Evolutionary Computation – GECCO 2004;2004

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