Connectionists: [CFP] CIKM 2018 Workshop on Legal Data Analytics and Mining (LeDAM 2018)

[Kripa Ghosh]

[apologies for cross-posting ]

CALL FOR PARTICIPATION

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.

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INVITED TALKS

=============

Speaker: Giovanni Sartor, Professor of Legal Informatics and Legal Theory,
European University Institute, Italy

Title: Using Machine Learning to Support Law Enforcement to the Benefit of
Consumers and Data Subject: the CLAUDETTE Project

Abstract: The project CLAUDETTE aims to support the detection of
potentially unfair and unlawful clause, both in consumer contacts and in
privacy policies, through automated tools, based on computational
linguistic and artificial intelligence. The purpose is to enable consumer
protection bodies and data protection authorities to engage more
proactively and effectively in monitoring compliance and in enforcing the
law. With regard to both contract terms and privacy policy we have
collected a corpus of contract terms, identified different kinds of
unlawful and unfair terms through legal analysis, and annotated the
documents accordingly. Then we have applied and tested different
computational approaches, including various machine learning algorithms, to
detect such terms. The better performing algorithms have been implemented
in an application available to the public through the project's website.
The system is complemented by a crawler, that detects changes in the
contract and policies already submitted to the system.

*****

Speaker: Luigi Di Caro, Assistant Professor, Department of Computer
Science, University of Turin, Italy

Title: Natural Language Processing and Ontology Learning in the Legal Domain

Abstract: Legal ontologies aim to provide a structured representation of
legal concepts and their interconnections. These ontologies are then
exploited to support tasks such as information extraction and question
answering in the legal domain. Given the increasing importance of the Web
of Data in public administration and in companies, being able to provide
machine-readable legal information is becoming a valuable and desired
contribution. However, concepts and relations within existing ontologies
usually represent limited subjective and application-oriented views of
specific sub-domains of interest. The talk will discuss recent research on
natural language technologies and text mining approaches towards the
creation, the reuse and the enrichment of legal ontologies.

*****

Speaker: Jack G. Conrad, Lead Research Scientist, Center for AI and
Cognitive Computing, Thomson Reuters, USA

Title: 30 Years of AI and Law: Legal Data Analytics in the Long View --
Looking Back, Looking Forward

Abstract: This talk will begin by examining the roots of Artificial
Intelligence and Law -- including applications involving NLP, data mining,
machine learning, and more broadly, data analytics -- noting that it has
been around for much longer than the recent buzz would suggest. We will
explore the field of AI and Law in terms of its development and expansion
starting in the 1980s and study how seminal research was conducted and
reported on in conference proceedings such as ICAIL and publications such
as the AI and Law journal. After having established the foundations of
today's field of AI and Law, we will look to the future and sketch some of
the practical application scenarios that the capabilities from the field
promise to deliver. These include next-generation tools for legal
professionals that can augment their skill sets by providing analytical
abilities to help in the crafting of legal strategies. We will illustrate
such instruments through the visualization of expected outcomes, while
varying key parameters such as trial length, expected costs, and likely
award or settlement figures. Lastly, we will investigate the prospective
role that prediction tools can play in AI and Law application spaces, while
looking still further into the future.

====================

PAPER PRESENTATIONS

====================

Structural Analysis of Contract Renewals

Frieda Josi and Christian Wartena (University of Applied Sciences and Arts
Hanover, Germany)

Concept Hierarchy Extraction from Legal Literature

Sabine Wehnert, David Broneske, Stefan Langer and Gunter Saake (Otto von
Guericke University and Legal Horizon AG, Germany)

Use of Pseudo Relevance Feedback for Patent Clustering with Fuzzy C-means

Noushin Fadaei and Thomas Mandl (Hildesheim University, Germany)

Argumentation-driven information extraction for online crime reports

Marijn Schraagen, Bas Testerink, Daphne Odekerken and Floris Bex (Utrecht
University, The Netherlands, and Dutch National Police)

Deep Ensemble Learning for Legal Query Understanding

Arunprasath Shankar and Venkata Nagaraju Buddarapu (LexisNexis, USA)



=================

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/~sghosh/)

For details, see https://sites.google.com/site/legaldam2018/

Kind Regards,

*Kripabandhu Ghosh *

Co-organizer

LeDAM 2018 Workshop

CIKM 2018
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