Tag Archives: Machine learning and legal texts

Bach et al.: A Two-Phase Framework for Learning Logical Structures of Paragraphs in Legal Articles

Ngo Xuan Bach, Professor Dr. Nguyen Le Minh, Tran Thi Oanh, and Professor Dr. Akira Shimazu, all of the Japan Advanced Institute of Science and Technology, have published A Two-Phase Framework for Learning Logical Structures of Paragraphs in Legal Articles, … Continue reading

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Li et al.: Using Algorithmic Attribution Techniques to Determine Authorship in Unsigned Judicial Opinions

William Li, Pablo Azar, David Larochelle, Phil Hill, James Cox, Robert C. Berwick, and Andrew W. Lo have published Using Algorithmic Attribution Techniques to Determine Authorship in Unsigned Judicial Opinions, Stanford Technology Law Review, 16, 503-534 (2013). Here is the … Continue reading

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Call for Papers: ICAIL 2013: International Conference on Artificial Intelligence and Law

A call for papers — with paper submission deadline of 18 January 2013 — has been issued for ICAIL 2013: 14th International Conference on Artificial Intelligence and Law, to be held 10-14 June 2013 in Rome, Italy. The Twitter account … Continue reading

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Chandler on Machine Learning Judicial Behavior Using a Mathematica to Weka Interface

Professor Seth J. Chandler of the University of Houston Law Center will present a paper entitled Machine Learning Judicial Behavior Using a Mathematica to Weka Interface, at IMS 2012: The International Mathematica Symposium, to be held 11-13 June 2012 in … Continue reading

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Papers Available for SPLeT 2012: Workshop on Semantic Processing of Legal Texts

Full text papers have been posted for SPLeT 2012: Workshop on Semantic Processing of Legal Texts, being held 27 May 2012 in Istanbul, Turkey. Here is the list of papers: Giulia Venturi: Design and Development of TEMIS: a Syntactically and … Continue reading

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