Discourse lexicon induction for multiple languages and its use for gender profiling.

We propose a novel way to create categorized discourse lexicons for multiple languages. We combine information from the Penn Discourse Treebank with statistical machine translation techniques on the Europarl corpus. Using gender profiling as an application, we evaluate our approach by comparing it w...

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Bibliographic Details
Published in:Digital Scholarship in the Humanities Vol. 34; no. 1; pp. 208 - 221
Main Authors: Verhoeven, Ben, Daelemans, Walter
Format: Article
Published: Oxford University Press / USA Apr2019
Subjects:
Online Access:View this record in EBSCOhost
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        atl: Discourse lexicon induction for multiple languages and its use for gender profiling.
      aug:
        au:
          Verhoeven, Ben
          Daelemans, Walter
        affil: CLiPS Research Center, University of Antwerp, Belgium
      su:
        Discourse
        Lexicon
        English language
        Dutch language
        German language
        Discourse analysis
        Lexicology
      sug:
        subj:
          Discourse
          Lexicon
          English language
          Dutch language
          German language
          Discourse analysis
          Lexicology
      ab: We propose a novel way to create categorized discourse lexicons for multiple languages. We combine information from the Penn Discourse Treebank with statistical machine translation techniques on the Europarl corpus. Using gender profiling as an application, we evaluate our approach by comparing it with an approach using features from a knowledge-based lexicon and with an Rhetorical structure theory (RST) discourse parser. Our experiments are performed on corpora for three languages (English, Dutch, and German) in two genres (news and blogs). We include a feature analysis in which we look for (in)consistencies of discourse features related to male and female authors between the different experimental settings.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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      custom: © 2019 EADH: The European Association for Digital Humanities.
      item: Digital Scholarship in the Humanities
      holder: Oxford University Press / USA
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