Publicaciones en colaboración con investigadores/as de Universidad de Matanzas (40)

2016

  1. Large-scale recognition of high-affinity protease-inhibitor complexes using topological autocorrelation and support vector machines

    Molecular Simulation, Vol. 42, Núm. 5, pp. 420-433

2014

  1. A new iterative algorithm for computing a quality approximate median of strings based on edit operations

    Pattern Recognition Letters, Vol. 36, Núm. 1, pp. 74-80

  2. UMCC DLSI: Sentiment Analysis in Twitter using Polirity Lexicons and Tweet Similarity

    8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings

  3. UMCC_DLSI_Prob: A Probabilistic Automata for Aspect Based Sentiment Analysis

    8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings

  4. UMCC_DLSI_SemSim: Multilingual System for Measuring Semantic Textual Similarity

    8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings

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. Noise-tolerance feasibility for restricted-domain Information Retrieval systems

    Data and Knowledge Engineering, Vol. 86, pp. 276-294

  3. RA-SR: Using a ranking algorithm to automatically building resources for subjectivity analysis over annotated corpora

    WASSA 2013 - 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings

  4. SSA-UO: Unsupervised twitter sentiment analysis

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

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

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

  6. 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

  7. 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

  8. 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

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

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

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

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

2012

  1. A graph-based approach to WSD using relevant semantic trees and N-Cliques model

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

  2. UMCC-DLSI: Multidimensional lexical-semantic textual similarity

    *SEM 2012 - 1st Joint Conference on Lexical and Computational Semantics

2011

  1. An unsupervised method to improve Spanish stemmer

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

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

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

  3. Improving WSD using ISR-WN with Relevant Semantic Trees and SemCor senses frequency

    International Conference Recent Advances in Natural Language Processing, RANLP