Metaheuristics for natural language tagging

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3102, Issue , 2004, Pages 889-900

  Araujo, Lourdes ^a   Luque, Gabriel ^b   Alba, Enrique ^b  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

^b Campus Teatinos   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BINS; COMPUTATIONAL LINGUISTICS; ENCODING (SYMBOLS); GENETIC ALGORITHMS; HEURISTIC ALGORITHMS; OPTIMIZATION; SIMULATED ANNEALING; WIDE AREA NETWORKS;

GENERIC OPTIMIZATION; INTEGER ENCODING; LEXICAL CATEGORIES; META HEURISTICS; NATURAL LANGUAGES; PARALLEL IMPLEMENTATIONS; SEARCH TECHNIQUE; WAN ENVIRONMENT;

EVOLUTIONARY ALGORITHMS;

EID: 33747829666     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24854-5_90     Document Type: Article

References (12)

1. E. Alba, F. Almeida, M. J. Blesa, J. Cabeza, C. Cotta, M. Díaz, I. Dorta, J. Gabarró, C. León, J. Luna, L. M. Moreno, C. Pablos, J. Petit, A. Rojas, and F. Xhafa. MALLBA: A library of skeletons for combinatorial optimisation. In Euro-Par, pages 927-932. Springer, 2002.
2. E. Alba and M. Tomassini. Parallelism and evolutionary algorithms. IEEE Transactions on Evolutionary Computation, 6(5):443-462, 2002.
3. L. Araujo. Part-of-speech tagging with evolutionary algorithms. In Proc. of the Int. Conf. on Intelligent Text Processing and Computational Linguistics (CICLing-2002), LNCS 2276, pages 230-239. Springer-Verlag, 2002.
4. L. Araujo. Studying the advantages of a messy evolutionary algorithm for natural language tagging. In Proc. of the Int. Genetic and Evolutionary Computation Conference (GECCO), LNCS 2724, pages 1951-1962. Springer-Verlag, 2003.
5. E. Charniak. Statistical Language Learning. MIT press, 1993.
6. L. Davis. Handbook of Genetic Algorithms. Van Nostrand Reinhold,1991.
7. S. J. DeRose. Grammatical category disambiguation by statistical optimization. Computational Linguistics, 14:31-39, 1988.
8. L. J. Eshelman. The CHC adaptive search algorithm: How to have safe search when engaging in nontraditional genetic recombination. In Proceedings of the First Workshop on FOGA, pages 265-283, San Mateo, CA, 1991. Morgan Kauffman.
9. S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi. Optimization by simulated annealing. Science, Number 4598, 13 May 1983, 220, 4598:671-680, 1983.
10. B. Merialdo. Tagging English text with a probabilistic model. Computational Linguistics, 20(2):155-172, 1994.
11. F. W. Nelson and H. Kucera. Manual of information to accompany a standard corpus of present-day edited American English, for use with digital computers. Technical report, Department of Linguistics, Brown University., 1979.
12. H. Schutze and Y. Singer. Part of speech tagging using a variable memory Markov model. In Proc. of the 1994 of the Association for Computational Linguistics. Association for Computational Linguistics, 1994.