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  1. TULSI: an NLP system for extracting legal modificatory provisions. [REVIEW]Leonardo Lesmo, Alessandro Mazzei, Monica Palmirani & Daniele P. Radicioni - 2013 - Artificial Intelligence and Law 21 (2):139-172.
    In this work we present the TULSI system (so named after Turin University Legal Semantic Interpreter), a system to produce automatic annotations of normative documents through the extraction of modificatory provisions. TULSI relies on a deep syntactic analysis and a shallow semantic interpreter that are illustrated in detail. We report the results of an experimental evaluation of the system and discuss them, also suggesting future directions for further improvement.
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  • Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition.Dan Jurafsky & James H. Martin - 2000 - Prentice-Hall.
    The first of its kind to thoroughly cover language technology at all levels and with all modern technologies this book takes an empirical approach to the ...
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  • Improving legal information retrieval using an ontological framework.M. Saravanan, B. Ravindran & S. Raman - 2009 - Artificial Intelligence and Law 17 (2):101-124.
    A variety of legal documents are increasingly being made available in electronic format. Automatic Information Search and Retrieval algorithms play a key role in enabling efficient access to such digitized documents. Although keyword-based search is the traditional method used for text retrieval, they perform poorly when literal term matching is done for query processing, due to synonymy and ambivalence of words. To overcome these drawbacks, an ontological framework to enhance the user’s query for retrieval of truly relevant legal judgments has (...)
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  • Advanced lexical ontologies and hybrid knowledge based systems: First steps to a dynamic legal electronic commentary. [REVIEW]Erich Schweighofer & Doris Liebwald - 2007 - Artificial Intelligence and Law 15 (2):103-115.
    Legal Information Retrieval (IR) research has stressed the fact that legal knowledge systems should be sufficiently capable to interpret and handle the semantics of a database. Modeling (expert-) knowledge by using ontologies enhances the ability to extract and exploit information from documents. This contribution presents theories, ideas and notions regarding the development of dynamic electronic commentaries based on a comprehensive legal ontology.
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  • Eunomos, a legal document and knowledge management system for the Web to provide relevant, reliable and up-to-date information on the law.Guido Boella, Luigi Di Caro, Llio Humphreys, Livio Robaldo, Piercarlo Rossi & Leendert van der Torre - 2016 - Artificial Intelligence and Law 24 (3):245-283.
    This paper describes the Eunomos software, an advanced legal document and knowledge management system, based on legislative XML and ontologies. We describe the challenges of legal research in an increasingly complex, multi-level and multi-lingual world and how the Eunomos software helps users cut through the information overload to get the legal information they need in an organized and structured way and keep track of the state of the relevant law on any given topic. Using NLP tools to semi-automate the lower-skill (...)
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