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  1. A crowdsourcing approach to building a legal ontology from text.Anatoly P. Getman & Volodymyr V. Karasiuk - 2014 - Artificial Intelligence and Law 22 (3):313-335.
    This article focuses on the problems of application of artificial intelligence to represent legal knowledge. The volume of legal knowledge used in practice is unusually large, and therefore the ontological knowledge representation is proposed to be used for semantic analysis, presentation and use of common vocabulary, and knowledge integration of problem domain. At the same time some features of legal knowledge representation in Ukraine have been taken into account. The software package has been developed to work with the ontology. The (...)
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  • E-Discovery revisited: the need for artificial intelligence beyond information retrieval. [REVIEW]Jack G. Conrad - 2010 - Artificial Intelligence and Law 18 (4):321-345.
    In this work, we provide a broad overview of the distinct stages of E-Discovery. We portray them as an interconnected, often complex workflow process, while relating them to the general Electronic Discovery Reference Model (EDRM). We start with the definition of E-Discovery. We then describe the very positive role that NIST’s Text REtrieval Conference (TREC) has added to the science of E-Discovery, in terms of the tasks involved and the evaluation of the legal discovery work performed. Given the critical nature (...)
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  • Afterword: data, knowledge, and e-discovery. [REVIEW]David D. Lewis - 2010 - Artificial Intelligence and Law 18 (4):481-486.
    Research in Artificial Intelligence (AI) and the Law has maintained an emphasis on knowledge representation and formal reasoning during a period when statistical, data-driven approaches have ascended to dominance within AI as a whole. Electronic discovery is a legal application area, with substantial commercial and research interest, where there are compelling arguments in favor of both empirical and knowledge-based approaches. We discuss the cases for both perspectives, as well as the opportunities for beneficial synergies.
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