Structure-Sensitive Learning of Text Types

نویسندگان

  • Peter Geibel
  • Ulf Krumnack
  • Olga Pustylnikov
  • Alexander Mehler
  • Helmar Gust
  • Kai-Uwe Kühnberger
چکیده

•Genres [Martin, 1992; Ventola, 1987] or registers [Biber, 1995; Halliday & Hasan, 1987] focus on functional or situative criteria of class membership •Hypothesis: structural differences reflect functional ones while similar functions tend to result in similarly structured texts. •To which degree is class membership manifested by structural properties? •Consideration of trees in this work •Examples are the DOM trees of XML documents = logical document structure Machine Learning Motivation

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تاریخ انتشار 2007