Tag Archives: Machine learning in legal documents

Deadline Extended to 17 January: Call for Papers for ICAIL 2011

[NOTE: The call for papers submission deadline has been extended to 17 January 2011, according to @JackGConrad.] A call for papers has been issued for ICAIL 2011: The 13th International Conference on Artificial Intelligence and Law, to be held 6-10 … Continue reading

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December 6 Deadline: ICAIL 2011 Workshop & Tutorial Proposals

[NOTE: 6 December 2010 is the deadline for submitting workshop and tutorial proposals.] A call for papers has been issued for ICAIL 2011: The 13th International Conference on Artificial Intelligence and Law, to be held 6-10 June 2011 at the … Continue reading

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Call for Papers: ICAIL 2011

A call for papers has been issued for ICAIL 2011: The 13th International Conference on Artificial Intelligence and Law, to be held 6-10 June 2011 at the University of Pittsburgh School of Law in Pittsburgh, Pennsylvania, USA. The conference is … Continue reading

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Privault et al. on a New Tangible User Interface for Machine Learning Document Review

Caroline Privault and colleagues, all of Xerox Research Center Europe, have published A New Tangible User Interface for Machine Learning Document Review, forthcoming in Artificial Intelligence and Law. Here is the abstract: This paper describes a tool for assisting lawyers … Continue reading

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Bruckschen et al. on Named Entity Recognition in the Legal Domain for Ontology Population

Mírian Bruckschen of Pontifícia Universidade Católica do Rio Grande do Sul, and colleagues, will present a paper entitled Named Entity Recognition in the Legal Domain for Ontology Population (for the full text of the paper, click here for the conference … Continue reading

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Quaresma & Gonçalves on Using Linguistic Information and Machine Learning Techniques to Identify Entities from Juridical Documents

Professor Paulo Quaresma and Teresa Gonçalves, both of Universidade de Évora Departamento de Informática, have published Using Linguistic Information and Machine Learning Techniques to Identify Entities from Juridical Documents, in Semantic Processing of Legal Texts: Where the Language of Law … Continue reading

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Dozier et al. on Named Entity Recognition and Resolution in Legal Text

Christopher Dozier and colleagues, all of Thomson Reuters Research and Development, have published Named Entity Recognition and Resolution in Legal Text, in Semantic Processing of Legal Texts: Where the Language of Law Meets the Law of Language 27-43 (Enrico Francesconi … Continue reading

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