A clustering-based approach for unsupervised-word sense disambiguation

• Autores: Tamara Martín Wanton, Rafael Berlanga
• Localización: Procesamiento del lenguaje natural, ISSN 1135-5948, Nº. 49, 2012, págs. 49-56
• Idioma: español
• Enlaces
  • Texto completo
• Resumen
  • español

    Los métodos de agrupamiento han sido ampliamente usados en muchas tareas de Procesamiento de la Información con el fin de capturar categorías de objetos desconocidos. Sin embargo, el agrupamiento ha sido poco utilizado como método para etiquetar sentidos en la Desambiguación del Sentido de las Palabras (WSD), es decir, como una forma de identificar grupos formados por sentidos de palabras semánticamente relacionados que pueden ser utilizados con éxito en el proceso de desambiguación. En este artículo presentamos un método de desambiguación no supervisado basado en el agrupamiento de sentidos de palabras que además es capaz de encontrar relaciones implícitas (no presentes en WordNet) entre los sentidos de las palabras de la oración. Investigamos en profundidad el rol del agrupamiento y su contribución al WSD. En los resultados experimentales se demuestra la utilidad del agrupamiento para la desambiguación no supervisada.

  • English

    Clustering methods have been extensively used in many Information Processing tasks in order to capture unknown object categories. However, clustering has been scarcely used as a sense labeling method for Word Sense Disambiguation (WSD), that is, as a way to identify groups of semantically related word senses that can be successfully used in a disambiguation process. In this paper, we present an unsupervised disambiguation method relying on word sense clustering that also reveals the implicit relationships (not asserted in WordNet) existing among these word senses.We also investigate in depth the role of clustering and its contribution to WSD. Experimental results demonstrate the usefulness of clustering for unsupervised WSD.

• Referencias bibliográficas
  • Agirre, E., & López, O. (2003). Clustering WordNet Word Senses. In Proceedings of the Conference on Recent Advances on Natural Language...
  • Anaya-Sánchez, H., Pons-Porrata, A., & Berlanga-Llavori, R. (2006). Word Sense Disambiguation based on Word Sense Clustering. In Simão...
  • Anaya-Sánchez, H., Pons-Porrata, A., & Berlanga-Llavori, R. (2007). TKB-UO: Proceedings of the 4th International Workshop on Semantic...
  • Aslam, J., Pelekhov, E., & Rus, D. (2004). The Star Clustering Algorithm for Static and Dynamic Information Organization. Journal of Graph...
  • Brody, S., Navigli, R., & Lapata, M. (2006). Ensemble Methods for Unsupervised WSD. In Proceedings of the 21st International Conference...
  • Gil-García, R., Badía-Contelles, J.M., & Pons-Porrata, A. (2003). Extended Star Clustering Algorithm. In Sanfeliu, A., & Ruiz-Shulcloper,...
  • Kolte, S.G., & Bhirud, S.G. (2008). Word Sense Disambiguation Using WordNet Domains. In Proceedings of the First International Conference...
  • Magnini, B., & Cavaglià, G. (2000). Integrating Subject Field Codes into WordNet. In Gavrilidou, M., Crayannis, G., Markantonatu,S.,Piperidis,S.,&Stainhaouer,...
  • Magnini, B., Strapparava, C., Pezzulo, G., & Gliozzo, A. (2002). The role of domain information in Word Sense Disambiguation. Natural...
  • Mihalcea, R. (2005). Unsupervised Large-Vocabulary Word Sense Disambiguation with Graph-Based Algorithms for Sequence Data Labeling. In Proceedings...
  • Miller, G. (1995). WordNet: A Lexical Database for English. Communications of the ACM, 38(11), 39-41.
  • Miller, G., Leacock, C., Randee, T., & Bunker, R. (1993). A Semantic Concordance. In Proceedings of the Workshop on Human Language Technology...
  • Navigli, R. (2006). Meaningful Clustering of Senses Helps Boost Word Sense Disambiguation Performance. In Proceedings of the 21st International...
  • Navigli, R. (2009). Word Sense Disambiguation: a Survey. ACM Computing Surveys, 41(2), 1-69.
  • Navigli, R., & Lapata, M. (2010). An Experimental Study of Graph Connectivity for Unsupervised Word Sense Disambiguation. IEEE Transactions...
  • Navigli, R., Litkowski, K.-C., & Hargraves, O. (2007). SemEval-2007 Task 07: Coarse-Grained English All-Words Task. In Proceedings of...
  • Pedersen, T. (2006). Unsupervised Corpus Based Methods for WSD. In Agirre E., & Edmonds, P. (Eds.), Word Sense Disambiguation: Algorithms...
  • Pradhan, S.S., Loper, E., Dligach, D., & Palmer, M. (2007). SemEval-2007 Task 17: English Lexical Sample, SRL and All Words. In Proceedings...
  • Snyder, B., & Palmer, M. (2004). The English All-Words Task. In Proceedings of Senseval-3: The Third International Workshop on the Evaluation...