A Question-Answering System for Legal Information Retrieval

dc.contributor.authorQuaresma, Paulo
dc.contributor.authorRodrigues, Irene Pimenta
dc.contributor.editorMoens, Marie-Francine
dc.contributor.editorSpyns, Peter
dc.date.accessioned2012-12-03T00:36:12Z
dc.date.available2012-12-03T00:36:12Z
dc.date.issued2005-12
dc.description.abstractIn this paper we present a question-answering system for Portuguese juridical documents. The system has two modules: preliminary analysis of documents (information extraction) and query processing (information retrieval). The proposed approach is based on computational linguistic theories: syntactical analysis (constraint grammars); followed by semantic analysis using the discourse representation theory; and, finally, a semantic/pragmatic interpretation using ontologies and logical inference. Knowledge representation and ontologies are handled through the use of an extension to PROLOG, ISCO, which allows to integrate logic programming and external databases. In this way it is possible to solve scalability problems like the need to represent more than 10 millions of discourse entities. The system was evaluated with the complete set of decisions from several Portuguese juridical institutions (Supreme Courts, High Court, Courts, and Attorney-General's Office) in a total of 180,000 documents. The obtained results were quite interesting and motivating and allowed the identification of some strong and weak characteristics of the system.por
dc.identifier.authoremailpq@uevora.pt
dc.identifier.authoremailipr@uevora.pt
dc.identifier.citationPaulo Quaresma and Irene Rodrigues, A Question-Answering System for Legal Information Retrieval, in: Marie-Francine Moens and Peter Spyns (eds), Proceedings of JURIX 2005: The 18th Annual Conference on Legal Knowledge and Information Systems, Frontiers in Artificial Intelligence and Applications, IOS Press, Brussels, Belgique, ISBN 1-58603-576-2, Pag. 91-100, December 2005.por
dc.identifier.scientificarea498por
dc.identifier.urihttp://dl.acm.org/citation.cfm?id=1563522
dc.identifier.urihttp://hdl.handle.net/10174/6188
dc.language.isoengpor
dc.publisherIOS Presspor
dc.rightsrestrictedAccesspor
dc.subjectQuestion-Answeringpor
dc.subjectLegal Information Retrievalpor
dc.titleA Question-Answering System for Legal Information Retrievalpor
dc.typebookPartpor

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