Summary of the paper

Title Using Lexical Acquisition to Enrich a Predicate Argument Reusable Database
Authors Paula Cristina Vaz, David Martins de Matos and Nuno J. Mamede
Abstract The work described in this paper aims to enrich the noun classifications of an existing database of lexical resources (de Matos and Ribeiro, 2004) adding missing information such as semantic relations. Relations are extracted from an annotated and manually corrected corpus. Semantic relations added to the database are retrieved from noun-appositive relations found in the corpus. The method uses clustering to generate labeled sets of words with hypernym relations between set label and set elements.
Language Single language
Topics Lexicon, lexical database, Semantics, Acquisition, Machine Learning
Full paper Using Lexical Acquisition to Enrich a Predicate Argument Reusable Database
Slides -
Bibtex @InProceedings{VAZ08.627,
  author = {Paula Cristina Vaz, David Martins de Matos and Nuno J. Mamede},
  title = {Using Lexical Acquisition to Enrich a Predicate Argument Reusable Database},
  booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
  year = {2008},
  month = {may},
  date = {28-30},
  address = {Marrakech, Morocco},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-4-0},
  note = {http://www.lrec-conf.org/proceedings/lrec2008/},
  language = {english}
  }

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