Evaluation of semantic events for legal case retrieval

Authors:
K. Tamsin Maxwell;Jon Oberlander;Victor Lavrenko
Affiliations:
Informatics University of Edinburgh;Informatics University of Edinburgh;Informatics University of Edinburgh
Venue:
Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval
Year:
2009

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Abstract

Legal argument is based on the facts of a case as well as legal issues, concepts and factors. We assess the feasibility of using semantic events extracted from court judgements to adequately represent the legal concepts and factual content of cases for legal information retrieval (IR). Results of a preliminary study show extracted events are attributed with 74% accuracy, 72% legal importance, and representing 86% of sentence meaning.