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 June 2011 at the University of Pittsburgh School of Law in Pittsburgh, Pennsylvania, USA.

The conference is organized by IAAIL: The International Association for Artificial Intelligence and Law.

A mentoring program is being offered for authors wishing to submit papers to the conference.

Here are the submission deadlines:

• “Mentoring program request deadline: November 8, 2010
• Mentoring program paper deadline: November 15, 2010
• Submission of workshop and tutorial proposals: December 6, 2010
• Submission of abstracts (optional): January 3, 2011″
• Submission of papers extended deadline: January 17, 2011

Papers are invited on the following topics:

• “Formal and computational models of legal reasoning
• Knowledge acquisition techniques for the legal domain, including natural language processing and data mining
• Computational models of argumentation and decision making
• Legal knowledge representation including legal ontologies and common sense knowledge
• Computational models of evidential reasoning
• Modeling norms for multi-agent systems
• Modeling negotiation and contract formation
• Computational models of case-based legal reasoning
• Conceptual or model-based legal information retrieval
• Automated information extraction from legal databases and texts
• Intelligent legal tutoring systems
• Intelligent support systems for the legal domain
• E-discovery and e-disclosure
• Automatic legal text classification and summarization
• Machine learning and data mining applied to legal databases”

For more information, please see the call for papers.

HT Jack G. Conrad.

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 University of Pittsburgh School of Law in Pittsburgh, Pennsylvania, USA.

The conference is organized by IAAIL: The International Association for Artificial Intelligence and Law.

A mentoring program is being offered for authors wishing to submit papers to the conference.

Here are the remaining submission deadlines:

• “Submission of workshop and tutorial proposals: December 6, 2010
• Submission of abstracts (optional): January 3, 2011
• Submission of papers deadline: January 10, 2011″

Papers are invited on the following topics:

• “Formal and computational models of legal reasoning
• Knowledge acquisition techniques for the legal domain, including natural language processing and data mining
• Computational models of argumentation and decision making
• Legal knowledge representation including legal ontologies and common sense knowledge
• Computational models of evidential reasoning
• Modeling norms for multi-agent systems
• Modeling negotiation and contract formation
• Computational models of case-based legal reasoning
• Conceptual or model-based legal information retrieval
• Automated information extraction from legal databases and texts
• Intelligent legal tutoring systems
• Intelligent support systems for the legal domain
• E-discovery and e-disclosure
• Automatic legal text classification and summarization
• Machine learning and data mining applied to legal databases”

For more information, please see the call for papers.

HT Jack G. Conrad.

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 organized by IAAIL: The International Association for Artificial Intelligence and Law.

A mentoring program is being offered for authors wishing to submit papers to the conference.

Here are the submission deadlines:

• “Mentoring program request deadline: November 8, 2010
• Mentoring program paper deadline: November 15, 2010
• Submission of workshop and tutorial proposals: December 6, 2010
• Submission of abstracts (optional): January 3, 2011
• Submission of papers deadline: January 10, 2011″

Papers are invited on the following topics:

• “Formal and computational models of legal reasoning
• Knowledge acquisition techniques for the legal domain, including natural language processing and data mining
• Computational models of argumentation and decision making
• Legal knowledge representation including legal ontologies and common sense knowledge
• Computational models of evidential reasoning
• Modeling norms for multi-agent systems
• Modeling negotiation and contract formation
• Computational models of case-based legal reasoning
• Conceptual or model-based legal information retrieval
• Automated information extraction from legal databases and texts
• Intelligent legal tutoring systems
• Intelligent support systems for the legal domain
• E-discovery and e-disclosure
• Automatic legal text classification and summarization
• Machine learning and data mining applied to legal databases”

For more information, please see the call for papers.

HT Jack G. Conrad.

Saravanan & Ravindran on Identification of Rhetorical Roles for Segmentation and Summarization of a Legal Judgment

M. Saravanan and Professor Balaraman Ravindran, both of the Department of Computer Science and Engineering of the Indian Institute of Technology Madras, have published Identification of Rhetorical Roles for Segmentation and Summarization of a Legal Judgment, forthcoming in Artificial Intelligence and Law. Here is the abstract:

Legal judgments are complex in nature and hence a brief summary of the judgment, known as a headnote, is generated by experts to enable quick perusal. Headnote generation is a time consuming process and there have been attempts made at automating the process. The difficulty in interpreting such automatically generated summaries is that they are not coherent and do not convey the relative relevance of the various components of the judgment. A legal judgment can be segmented into coherent chunks based on the rhetorical roles played by the sentences. In this paper, a comprehensive system is proposed for labeling sentences with their rhetorical roles and extracting structured head notes automatically from legal judgments. An annotated data set was created with the help of legal experts and used as training data. A machine learning technique, Conditional Random Field, is applied to perform document segmentation by identifying the rhetorical roles. The present work also describes the application of probabilistic models for the extraction of key sentences and composing the relevant chunks in the form of a headnote. The understanding of basic structures and distinct segments is shown to improve the final presentation of the summary. Moreover, by adding simple additional features the system can be extended to other legal sub-domains. The proposed system has been empirically evaluated and found to be highly effective on both the segmentation and summarization tasks. The final summary generated with underlying rhetorical roles improves the readability and efficiency of the system.