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  • 标题:Identifying Causal Relations in Legal Documents with Dependency Syntactic Analysis
  • 本地全文:下载
  • 作者:Pablo Gamallo ; Patricia Mart{\'\i}n-Rodilla ; Beatriz Calder{\'o}n
  • 期刊名称:OASIcs : OpenAccess Series in Informatics
  • 电子版ISSN:2190-6807
  • 出版年度:2019
  • 卷号:74
  • 页码:1-6
  • DOI:10.4230/OASIcs.SLATE.2019.20
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:This article describes a method for enriching a dependency-based parser with causal connectors. Our specific objective is to identify causal relationships between elementary discourse units in Spanish legal texts. For this purpose, the approach we follow is to search for specific discourse connectives which are taken as causal dependencies relating an effect event (head) with a verbal or nominal cause (dependent). As a result, we turn a specific syntactic parser into a discourse parser aimed at recognizing causal structures.
  • 关键词:Dependency Analysis; Discourse Analysis; Causal Markers; Legal Documents
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