1887
Advances in Frame Semantics
  • ISSN 1876-1933
  • E-ISSN: 1876-1941
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Abstract

The FrameNet approach to text semantic annotation can be a reliable model to make the linguistic information and semantic content of legal texts explicit. This hypothesis is discussed and empirically demonstrated through a trial of annotating a corpus of Italian legal texts. This study aims to show that FrameNet is particularly appropriate to provide new perspectives for legal language studies and for legal knowledge representation tasks. Moreover, by relying on the output of a statistical dependency parser, the FrameNet-based annotation methodology presented here can be used successfully in the automatic semantic processing of legal texts.
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/content/journals/10.1075/cf.3.1.02ven
2011-01-01
2019-10-21
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References

http://instance.metastore.ingenta.com/content/journals/10.1075/cf.3.1.02ven
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  • Article Type: Research Article
Keyword(s): legal language , legal ontologies , natural language processing and semantic annotation
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