Publicaciones en colaboración con investigadores/as de Universidad de Matanzas (22)

2013

  1. An improved fast edit approach for two-string approximated mean computation applied to OCR

    Pattern Recognition Letters, Vol. 34, Núm. 5, pp. 496-504

  2. UMCC-DLSI-(EPS): Paraphrases detection based on semantic distance

    *SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics

  3. UMCC-DLSI: Reinforcing a ranking algorithm with sense frequencies and multidimensional semantic resources to solve multilingual word sense disambiguation

    *SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics

  4. UMCC-DLSI: Textual Similarity based on Lexical-Semantic features

    SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity

  5. UMCC_DLSI-(SA): Using a ranking algorithm and informal features to solve sentiment analysis in twitter

    *SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics

  6. UMCC_DLSI: Semantic and Lexical features for detection and classification Drugs in biomedical texts

    *SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics

  7. UMCC_DLSI: Textual Similarity based on Lexical-Semantic features

    *SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics

2011

  1. Characterization of contour regularities based on the Levenshtein edit distance

    Pattern Recognition Letters, Vol. 32, Núm. 10, pp. 1421-1427

2010

  1. A new editing scheme based on a fast two-string median computation applied to OCR

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

2009

  1. Contour regularity extraction based on string edit distance

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