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  • 标题:Genre-based Reference Chains Identification for French
  • 本地全文:下载
  • 作者:Laurence Longo, Amalia Todirascu
  • 期刊名称:Investigationes Linguisticae (Online)
  • 印刷版ISSN:1426-188X
  • 电子版ISSN:1733-1757
  • 出版年度:2010
  • 卷号:XXI
  • 出版社:Adam Mickiewicz University
  • 摘要:

    In this paper we present RefGen, a reference chains identification module for French. RefGen algorithm uses genre specific properties of reference chains and an accessibility measure to find the mentions of the referred entity. The module applies strong and weak constraints (lexical, morpho-syntactic, and semantic) to automatically identify coreference relations between referential expressions. We evaluate the results obtained by RefGen from a public reports corpus and we discuss the importance of the genre-dependent parameters to improve the reference chains identification.

  • 关键词:Algorithm;Accessibility;Constraints
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