• DocumentCode
    3756480
  • Title

    Adaptation of Discourse Parsing Models for the Portuguese Language

  • Author

    Erick G. Maziero;Graeme Hirst;Thiago A.S. Pardo

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2015
  • Firstpage
    140
  • Lastpage
    145
  • Abstract
    Discourse parsing in Portuguese has two critical limitations. The first is that the task has been explored using only symbolic approaches, i.e., Using manually extracted lexical patterns. The second is related to the domain of the lexical patterns, which were extracted through the analysis of a corpus of academic texts, generating many domain-specific patterns. For English, many approaches have been explored using machine learning with features based on a prominent lexicon-syntax notion of dominance sets. In this paper, two works were adapted to Portuguese, improving the results, outperforming the baselines and previous works for Portuguese, considering the task of rhetorical relation identification.
  • Keywords
    "Syntactics","Magnetic heads","Satellites","Feature extraction","Machine learning algorithms","Adaptation models","Natural language processing"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (BRACIS), 2015 Brazilian Conference on
  • Type

    conf

  • DOI
    10.1109/BRACIS.2015.24
  • Filename
    7424009