International Workshop on Legal Data Analysis and Mining, 2018 LeDAM2018

征稿已开启

已截稿

注册已开启

已截止

活动简介

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.

组委会

Technical Program Committee

Adam Wyner, Swansea University, Swansea, UK

Charles K. Nicholas, University of Maryland Baltimore County, USA

David Lewis, Dave Lewis, Brainspace (A Cyxtera Business), USA

Girish Keshav Palshikar, Tata Consultancy Services, India

Jack G. Conrad, Thomson 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 Pittsburgh, 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/author/dr-lipika-dey)

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/~saptarshi/)

征稿信息

征稿范围

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

作者指南

All papers must be submitted in PDF in ACM sigconf format (https://www.acm.org/publications/proceedings-template). 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.