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Combining structured and unstructured information in a retrieval model for accessing legislation

Published: 06 June 2005 Publication History

Abstract

Legislative sources are currently accessible via portal web sites. Users demand precise and exhaustive answers to their information queries. When legislation is drafted, it contains text-rich information that is increasingly marked with XML tags. The statute structure as signaled by XML markup can be exploited to more precisely answer free information queries. In this paper we report on several XML retrieval models that we explicitly designed for the retrieval of legislation. We show that the models provide more advanced access to the content of statutes.

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  1. Combining structured and unstructured information in a retrieval model for accessing legislation

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    cover image ACM Other conferences
    ICAIL '05: Proceedings of the 10th international conference on Artificial intelligence and law
    June 2005
    270 pages
    ISBN:1595930817
    DOI:10.1145/1165485
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 06 June 2005

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    Author Tags

    1. information retrieval
    2. legislative documents

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    • (2023)CASRank: A ranking algorithm for legal statute retrievalMultimedia Tools and Applications10.1007/s11042-023-15464-083:2(5369-5386)Online publication date: 2-Jun-2023
    • (2018)Predicting Statutes Based on Causes of Action and Content of StatutesData Science10.1007/978-981-13-2206-8_39(477-492)Online publication date: 9-Sep-2018
    • (2010)Change-aware legal document retrieval modelProceedings of the International Conference on Management of Emergent Digital EcoSystems10.1145/1936254.1936284(174-181)Online publication date: 26-Oct-2010
    • (2009)Mining and analysing security goal models in health information systemsProceedings of the 2009 ICSE Workshop on Software Engineering in Health Care10.1109/SEHC.2009.5069605(42-52)Online publication date: 18-May-2009
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    • (2009)Integrated access to legal literature through automated semantic classificationArtificial Intelligence and Law10.1007/s10506-008-9072-617:1(31-49)Online publication date: 1-Mar-2009
    • (2009)Managing Legal Texts in Requirements EngineeringDesign Requirements Engineering: A Ten-Year Perspective10.1007/978-3-540-92966-6_21(374-393)Online publication date: 2009
    • (2008)Segmentation of Legislative Documents Using a Domain-Specific LexiconProceedings of the 2008 19th International Conference on Database and Expert Systems Application10.1109/DEXA.2008.45(665-669)Online publication date: 1-Sep-2008
    • (2007)Opinion mining in legal blogsProceedings of the 11th international conference on Artificial intelligence and law10.1145/1276318.1276363(231-236)Online publication date: 4-Jun-2007
    • (2007)The search problem posed by large heterogeneous data sets in litigationProceedings of the 11th international conference on Artificial intelligence and law10.1145/1276318.1276344(141-147)Online publication date: 4-Jun-2007
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