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 for the conference is @ICAIL2013 . The Twitter hashtag for the conference is #ICAIL2013. The conference organizers invite those interested to follow the Twitter account and hashtag and to comment and contribute with the latest news.

The conference features two tracks: one for “regular papers” and one for “innovative applications papers.”

Here is the complete list of deadlines:

• Mentoring program request deadline: November 9, 2012
• Mentoring program paper deadline: November 16, 2012
• Submission of workshop and tutorial proposals: December 7, 2012
• Submission of abstracts (optional): January 11, 2013
• Submission of papers deadline: January 18, 2013
• Notification of acceptance: March 20, 2013
• Final revised and formatted papers due: April 19, 2013
• Conference: June 10 – June 14, 2013

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
• Automatic legal text classification and summarization
• Automated information extraction from legal databases and texts
• Machine learning and data mining applied to legal databases
• Conceptual or model-based legal information retrieval
• E-discovery and e-disclosure
• E-government and e-justice
• Computational models of evidential reasoning
• Modeling norms for multi-agent systems
• Modeling negotiation and contract formation
• Computational models of case-based legal reasoning
• Online dispute resolution
• Intelligent legal tutoring systems
• Intelligent support systems for the legal domain
• Interdisciplinary applications of legal informatics methods and systems

For more information, please see the call for papers.

HT Anne Gardner

[NOTE: Updated 23 November 2012 to add the Twitter account and hashtag. HT Enrico Francesconi]

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 London, England, UK.

Here is the abstract:

Weka is a comprehensive and powerful Java library subject to a GNU General Public License that implements a large number of modern machine learning classification and other methods. These classification methods include Bayesian techniques, nearest neighbor voting, support vector machines, neural nets, and decision trees, meta-methods such as “dagging” as well as simple methods such as “OneR” and “ZeroR.” While Weka can be used both from a command line and using a variety of respectable GUI interfaces provided by its designers, the ability to further manipulate its output or conduct structured experiments can be challenging. This presentation will show how one can use a Mathematica foreign language interface (J/Link) to conduct structured experiments using Weka’s capabilities and to extract information produced by Weka algorithms as the basis for further analysis and visualization using Mathematica. The domain in which the matter will be presented should be topical: an effort to predict the behavior of United States Supreme Court Justices. Using the Mathematica to Weka interface both for construction of machine learning algorithms and as an engine for deriving real-time results, the presentation (a) predicts the results of important pending Supreme Court cases, (b) creates a “Fantasy Supreme Court” that predicts the results of imagined cases to imagined panels of justices, and (c) creates a kind of “time machine” that shows how actual cases might have come out – and might have changed legal and cultural history – had they been decided by different panels of justices.

For the full text of the paper or the slides, please contact the author.

Thanks to Professor Chandler for allowing me to post the abstract.

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 Semantically Annotated Corpus of Italian Legislative Texts
• Guido Boella, Luigi Di Caro, Llio Humphreys, Livio Robaldo: Using Legal Ontology to Improve Classification in the Eunomos Legal Document and Knowledge Management System
• Antonio Lazari, Mª Ángeles Zarco-Tejada: JurWordNet and FrameNet Approaches to Meaning Representation: a Legal Case Study
• Lorenzo Bacci, Enrico Francesconi, Maria Teresa Sagri: A Rule-based Parsing Approach for Detecting Case Law References in Italian Court Decisions
• Adam Wyner, Wim Peters: Semantic Annotations for Legal Text Processing using GATE Teamware
• Paulo Quaresma: Legal Information Extraction ← Machine Learning Algorithms + Linguistic Information
• Adam Wyner: Problems and Prospects in the Automatic Semantic Analysis of Legal Texts
• Felice Dell’Orletta, Simone Marchi, Simonetta Montemagni, Barbara Plank, Giulia Venturi: The SPLeT–2012 Shared Task on Dependency Parsing of Legal Texts
• Giuseppe Attardi, Daniele Sartiano and Maria Simi: Active Learning for Domain Adaptation of Dependency Parsing on Legal Texts
• Alessandro Mazzei, Cristina Bosco: Simple Parser Combination
• Niklas Nisbeth, Anders Søgaard: Parser combination under sample bias