LeDAM 2018 - Workshop on Legal Data Analytics and Mining (LeDAM 2018)

Workshop on Legal Data Analytics and Mining (LeDAM 2018)
In conjunction with ACM International Conference on Information and Knowledge Management (CIKM) 2018
Turin, Italy | 22nd October 2018
Website : https://sites.google.com/site/legaldam2018/
Legal data mining is the subarea of data mining applied to legal texts, such as legislation, case law, patents, and scholarly works. Legal data mining systems are key to providing easier access to law for both common persons and legal professionals. This area is becoming increasingly important, because of the rapidly growing volume of legal cases and documents available in digital formats. The broad goals of the LeDAM workshop are:
- to promote research in legal data analytics by fostering collaboration between the legal data mining practitioners and the data mining research community at large,
- to improve awareness among the legal community about the state of the art models, techniques and algorithms developed by the data mining community that can potentially benefit the problems, and
- to identify new research opportunities in data mining that arise from legal applications.
We invite academic and industrial/governmental researchers and legal professionals to come together, present and discuss research results, use cases, innovative ideas, challenges, and opportunities that arise from applications of data mining in the legal domain.
=== Topics of interest ===
We are interested to receive paper submissions on all aspects of legal data mining. Topics of interest include but are not limited to:
1. Applications of data mining, machine learning and natural language processing techniques for the legal domain, for tasks such as summarization of legal document, precedence retrieval, argument mining, legal text classification, and so on
2. Answering natural language queries (primarily in layman language) with legal information
3. Discovery of electronically stored information for legal applications (eDiscovery)
4. Data mining and Information retrieval from patents, contracts, and other types of legal documents
5. Legal knowledge representation, including legal ontologies, knowledge graphs and common sense knowledge
6. Automated information extraction from legal databases and texts
7. Conceptual and model-based legal information retrieval
8. Applications of neural networks and deep learning techniques on legal data
9. Modelling norms and legal reasoning for multi-agent systems
10. Modelling negotiation and contract formation
11. Online dispute resolution
12. Intelligent support systems for the legal domain
13. Formal and computational models of legal reasoning, including argumentation, evidential reasoning, legal interpretation, and decision making
=== Paper submissions ===
All papers must be submitted in PDF in ACM sigconf (https://www.acm.org/publications/proceedings-templ...) format. All papers must be written in English.
We will consider three types of papers:
- Full papers, describing completed works relevant to the theme (8-10 pages)
- Short papers, describing preliminary ideas or work (4-6 pages)
- Position/Vision papers, describing novel and practically important problems (2 pages)
Submitted papers will be peer-reviewed, and the accepted papers will be included in the workshop proceedings that will be published online on CEUR (http://ceur-ws.org/).
At least one author of each accepted paper is required to register for the workshop (as per rules of the conference) and present the paper at the workshop.
=== Important dates ===
Paper submission deadline: July 10, 2018
Notifications of acceptance: August 15, 2018
Camera ready deadline: August 27, 2018
Workshop: October 22, 2018
All times are 23:59 in Anywhere-on-Earth timezone.
=== Technical Program Committee ===
Adam Wyner, University of Aberdeen, Scotland UK
Charles K. Nicholas, University of Maryland Baltimore County, USA
David Lewis, David D. Lewis Consulting, USA
Girish Keshav Palshikar, TCS Research, India
Jack Conrad, Thompson Reuters, USA
Jeroen Keppens, King’s College London, UK
Karl Branting, MITRE Corporation, USA
Katie Atkinson, University of Liverpool, UK
Ken Satoh, National Institute of Informatics, Japan
Kevin Ashley, University of Pittsburg, USA
Matthias Grabmair, Carnegie Mellon University, USA
Maura Grossman, University of Waterloo, Canada
Mi-Young Kim, University of Alberta, Canada
Mossab Bagdouri, Walmart Labs, USA
Paulo Quaresma, Universidade de Evora, Portugal
Prasenjit Majumder, DAIICT, India
William Webber, William Webber Consulting, Australia
=== Organizing Committee ===
Arindam Pal, TCS Research and Innovation, India (http://www.cse.iitd.ernet.in/~arindamp/)
Arnab Bhattacharya, Indian Institute of Technology Kanpur, India (https://www.cse.iitk.ac.in/users/arnabb/)
Indrajit Bhattacharya, TCS Research and Innovation, India (https://sites.google.com/site/indrajitb/)
Kripabandhu Ghosh, Indian Institute of Technology Kanpur, India (https://www.cse.iitk.ac.in/users/kripa/)
Lipika Dey, TCS Research and Innovation, India (http://sites.tcs.com/blogs/research-and-innovation...)
Marie-Francine Moens, KU Leuven, Belgium (https://people.cs.kuleuven.be/~sien.moens/)
Saptarshi Ghosh, Indian Institute of Technology Kharagpur, India (http://cse.iitkgp.ac.in/~sghosh/)
For details, see https://sites.google.com/site/legaldam2018/