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  • 标题:Discourse-based answering of why-questions
  • 本地全文:下载
  • 作者:Suzan Verberne ; Lou Boves ; Peter-Arno Coppen, Nelleke,Oostdijk
  • 期刊名称:Traitement Automatique des Langues
  • 印刷版ISSN:1248-9433
  • 电子版ISSN:1965-0906
  • 出版年度:2006
  • 卷号:47
  • 期号:2
  • 出版社:ATALA - Assoc Traitement Automatique Langues
  • 摘要:This paper presents the work that we have carried out in investigating the purpose of discourse structure for why-question answering (why-QA). We developed a system for answering why-questions that employs the discourse relations in a pre-annotated document collection (the RST Treebank). With this method, we obtain a recall of 53.3% with a mean reciprocal rank (MRR) of 0.662. We argue that the maximum recall that can be obtained from the use of RST relations as proposed in the present paper is 58.0%. If we discard the questions that require world knowledge, maximum recall is 73.9%. We conclude that discourse structure can play an important role in complex question answering, but that more forms of linguistic processing are needed for increasing recall.
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