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

Oct 22, 2018 ,Turin, Italy

Call For Paper

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 include, but are not limited to, the following topic areas: :

• 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
• Answering natural language queries (primarily in layman language) with legal information
• Discovery of electronically stored information for legal applications (eDiscovery)
• Data mining and Information retrieval from patents, contracts, and other types of legal documents
• Legal knowledge representation, including legal ontologies, knowledge graphs and common sense knowledge
• Automated information extraction from legal databases and texts
• Conceptual and model-based legal information retrieval
• Applications of neural networks and deep learning techniques on legal data
• Modelling norms and legal reasoning for multi-agent systems
• Modelling negotiation and contract formation
• Online dispute resolution
• Intelligent support systems for the legal domain
• Formal and computational models of legal reasoning, including argumentation, evidential reasoning, legal interpretation, and decision making

Important Dates

Submission Deadline	:	July 10, 2018
Notification acceptance:	:	Augast 15, 2018
Camera-ready submission	:	Aug 27, 2018

User Name : advika
Posted 18-05-2018 on 21:10:29 AEDT

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