New HELIC-II: a software tool for legal reasoning
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
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Semantic structure analysis of Japanese noun phrases with adnominal particles
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Stable legal knowledge with regard to contradictory arguments
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
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Proceedings of the 2010 conference on Legal Knowledge and Information Systems: JURIX 2010: The Twenty-Third Annual Conference
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Semantic Processing of Legal Texts
FSMNLP '11 Proceedings of the 9th International Workshop on Finite State Methods and Natural Language Processing
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This paper proposes a framework for translating legal sentences into logical forms in which we can check for inconsistency, and describes the implementation and experiment of the first experimental system. Our logical formalization conforms to Davidsonian Style, which is suitable for languages allowing expressions with zero-pronouns such as Japanese. We examine our system with actual data of legal documents. As a result, the system was 78% of accurate in terms of deriving predicates with bound variables. We discuss our plan for further development of the system from the viewpoint of the following two aspects: (1) improvement of accuracy (2) formalization of output necessary for logical processing.