Summary of the paper

Title Acquiring Reliable Predicate-argument Structures from Raw Corpora for Case Frame Compilation
Authors Daisuke Kawahara and Sadao Kurohashi
Abstract We present a method for acquiring reliable predicate-argumentstructures from raw corpora for automatic compilation of caseframes. Such lexicon compilation requires highly reliablepredicate-argument structures to practically contribute to NaturalLanguage Processing (NLP) applications, such as paraphrasing, textentailment, and machine translation. However, to precisely identifypredicate-argument structures, case frames are required. This issue issimilar to the question "what came first: the chicken or the egg?" Inthis paper, we propose the first step in the extraction of reliablepredicate-argument structures without using case frames. We firstapply chunking to raw corpora and then extract reliable chunks toensure that high-quality predicate-argument structures are obtainedfrom the chunks. We conducted experiments to confirm the effectivenessof our approach. We successfully extracted reliable chunks of anaccuracy of 98% and high-quality predicate-argument structures of anaccuracy of 97%. Our experiments confirmed that we succeeded inacquiring highly reliable predicate-argument structures that can beused to compile case frames.
Language Knowledge Discovery/Representation
Topics Acquisition, Lexicon, lexical database, Knowledge Discovery/Representation
Full paper Acquiring Reliable Predicate-argument Structures from Raw Corpora for Case Frame Compilation
Bibtex @InProceedings{KAWAHARA10.733,
  author = {Daisuke Kawahara and Sadao Kurohashi},
  title = {Acquiring Reliable Predicate-argument Structures from Raw Corpora for Case Frame Compilation},
  booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
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