Corrección no Supervisada de Dependencias Sintácticas de Aposición mediante Clases Semánticas

• Autores: Bernardo Cabaleiro Barciela, Anselmo Peñas Padilla
• Localización: Procesamiento del lenguaje natural, ISSN 1135-5948, Nº. 51, 2013, págs. 67-74
• Idioma: español
• Enlaces
  • Texto completo
• Resumen
  • español

    En este artculo exploramos de que manera el conocimiento semantico adquirido de manera automatica a partir de grandes colecciones de texto permite mejorar el resultado de un analizador sintactico. Para ello proponemos un metodo no supervisado que corrige dependencias de aposicion buscando en su contexto candidatos con mayor compatibilidad semantica que el proporcionado por el analizador sintactico en primera instancia.

  • English

    In this article we explore how automatic acquired semantic knowledge from large text collections allows to improve a syntactic parser. We propose an unsupervised method that corrects appositions dependencies by searching candidates in its context more semantically suitable than the one proposed by the syntactic parser in the rst place

• Referencias bibliográficas
  • Agirre, Eneko, Timothy Baldwin, y David Martinez. 2008. Improving parsing and PP attachment performance with sense information. En Proceedings...
  • Agirre, Eneko, Kepa Bengoetxea, Koldo Gojenola, y Joakim Nivre. 2011. Improving dependency parsing with semantic classes. En Proceedings of...
  • Cabaleiro, Bernardo y Anselmo Peñas. 2012. Representación gráfica de documentos para extracción automática de relaciones. Procesamiento del...
  • Church, Kenneth y Ramesh Patil. 1982. Coping with syntactic ambiguity or how to put the block in the box on the table. Comput. Linguist.,...
  • Ciaramita, Massimiliano. 2007. Dependency parsing with second-order feature maps and annotated semantic information. En Proc. of the 12th...
  • Clark, Peter y Phil Harrison. 2009. Largescale extraction and use of knowledge from text. En Proceedings of the fifth international conference...
  • Finkel, Jenny Rose, Trond Grenager, y Christopher Manning. 2005. Incorporating non-local information into information extraction systems by...
  • Hearst, Marti A. 1992. Automatic acquisition of hyponyms from large text corpora. En Proceedings of the 14th conference on Computational linguistics...
  • House, Random. 2005. Random House Kernerman Webster's College Dictionary.
  • Ji, Heng, Ralph Grishman, y Hoa Dang. 2011. Overview of the TAC2011 Knowledge Base Population Track. En TAC 2011 Proceedings Papers.
  • Klein, Dan y Christopher D. Manning. 2003. Accurate unlexicalized parsing. En Proceedings of the 41st Annual Meeting on Association for Computational...
  • Kozareva, Zornitsa, Ellen Riloff, y Eduard Hovy. 2008. Semantic class learning from the web with hyponym pattern linkage graphs. En Proceedings...
  • Lee, Heeyoung, Yves Peirsman, Angel Chang, Nathanael Chambers, Mihai Surdeanu, y Dan Jurafsky. 2011. Stanford's multi-pass sieve coreference...
  • Lin, Dekang y Patrick Pantel. 2001. Induction of semantic classes from natural language text. En Proceedings of the seventh ACM SIGKDD international...
  • Mendes, Pablo N., Max Jakob, y Christian Bizer. 2012. Dbpedia for nlp: A multilingual cross-domain knowledge base. En Proceedings of the Eight...
  • Miller, George A, Richard Beckwith, Christiane Fellbaum, Derek Gross, y Katherine J Miller. 1990. Introduction to wordnet: An on-line lexical...
  • Resnik, Philip. 1993. Semantic classes and syntactic ambiguity. En Proceedings of the workshop on Human Language Technology, HLT '93,...
  • Schubert, Lenhart. 2002. Can we derive general world knowledge from texts? En IN PROC. HLT 2002, páginas 24-27.
  • Toutanova, Kristina y Christopher D. Manning. 2000. Enriching the knowledge sources used in a maximum entropy partof- speech tagger. EMNLP...