Publicacións en colaboración con investigadores/as de Universidad Complutense de Madrid (29)

2010

  1. Structure of morphologically expanded queries: A genetic algorithm approach

    Data and Knowledge Engineering, Vol. 69, Núm. 3, pp. 279-289

2008

  1. Improving query expansion with stemming terms: A new genetic algorithm approach

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

2006

  1. Enriching thesauri with hierarchical relationships by pattern matching in dictionaries

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

  2. Genetic algorithm for burst detection and activity tracking in event streams

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

  3. Multiobjective genetic programming for natural language Parsing and Tagging

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

  4. Natural language tagging with genetic algorithms

    Information Processing Letters, Vol. 100, Núm. 5, pp. 173-182

  5. Query expansion with an automatically generated thesaurus

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

2005

  1. Evolutionary algorithm for noun phrase detection in natural language processing

    2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings

  2. Statistical recognition of noun phrases in unrestricted text

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

2004

  1. A probabilistic chart parser implemented with an evolutionary algorithm

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2945, pp. 81-92

  2. Genetic programming for natural language parsing

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3003, pp. 230-239

  3. Metaheuristics for natural language tagging

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3102, pp. 889-900

  4. Symbiosis of Evolutionary Techniques and Statistical Natural Language Processing

    IEEE Transactions on Evolutionary Computation, Vol. 8, Núm. 1, pp. 14-27

2003

  1. Studying the advantages of a Messy Evolutionary Algorithm for natural language tagging

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2724, pp. 1951-1962

2002

  1. A parallel evolutionary algorithm for stochastic natural language parsing

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

  2. Part-of-speech tagging with evolutionary algorithms

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

2001

  1. Evolutionary parsing for a probabilistic context free grammar

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

2000

  1. A hybrid evolutionary approach for solving constrained optimization problems over finite domains

    IEEE Transactions on Evolutionary Computation, Vol. 4, Núm. 4, pp. 353-372

  2. Some essential side-effects of prolog on a distributed implementation

    Computers and Artificial Intelligence, Vol. 19, Núm. 2, pp. 147-167

1999

  1. Parallel execution models for constraint programming over finite domains

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