<div dir="ltr"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" id="gmail-docs-internal-guid-d2d453a8-7fff-f64d-2972-e8f183f3b285"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">[apologies for cross-posting ]</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">CALL FOR PARTICIPATION</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Workshop on Legal Data Analytics and Mining (LeDAM 2018) </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">In conjunction with ACM International Conference on Information and Knowledge Management (CIKM) 2018</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Turin, Italy | 22nd October 2018</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Website :</span><a href="https://sites.google.com/site/legaldam2018/" style="text-decoration:none"><span style="font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap"> https://sites.google.com/site/legaldam2018/</span></a></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">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: </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">-- to promote research in legal data analytics by fostering collaboration between the legal data mining practitioners and the data mining research community at large, </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">-- 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 </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">-- to identify new research opportunities in data mining that arise from legal applications.</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">=============</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">INVITED TALKS </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">=============</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Speaker: Giovanni Sartor, Professor of Legal Informatics and Legal Theory, European University Institute, Italy</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Title: Using Machine Learning to Support Law Enforcement to the Benefit of Consumers and Data Subject: the CLAUDETTE Project</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">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. </span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">*****</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Speaker: Luigi Di Caro, Assistant Professor, Department of Computer Science, University of Turin, Italy</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Title: Natural Language Processing and Ontology Learning in the Legal Domain</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">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.</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">*****</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Speaker: Jack G. Conrad, Lead Research Scientist, Center for AI and Cognitive Computing, Thomson Reuters, USA</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Title: 30 Years of AI and Law: Legal Data Analytics in the Long View -- Looking Back, Looking Forward</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">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.</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">====================</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">PAPER PRESENTATIONS</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">====================</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Structural Analysis of Contract Renewals</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Frieda Josi and Christian Wartena (University of Applied Sciences and Arts Hanover, Germany)</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Concept Hierarchy Extraction from Legal Literature</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Sabine Wehnert, David Broneske, Stefan Langer and Gunter Saake (Otto von Guericke University and Legal Horizon AG, Germany)</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Use of Pseudo Relevance Feedback for Patent Clustering with Fuzzy C-means</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Noushin Fadaei and Thomas Mandl (Hildesheim University, Germany)</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Argumentation-driven information extraction for online crime reports</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Marijn Schraagen, Bas Testerink, Daphne Odekerken and Floris Bex (Utrecht University, The Netherlands, and Dutch National Police)</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Deep Ensemble Learning for Legal Query Understanding</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Arunprasath Shankar and Venkata Nagaraju Buddarapu (LexisNexis, USA)</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">  </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">=================</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Organizing Committee</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">=================</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Arindam Pal, TCS Research and Innovation, India (</span><a href="http://www.cse.iitd.ernet.in/~arindamp/" style="text-decoration:none"><span style="font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">http://www.cse.iitd.ernet.in/~arindamp/</span></a><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">)</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Arnab Bhattacharya, Indian Institute of Technology Kanpur, India (</span><a href="https://www.cse.iitk.ac.in/users/arnabb/" style="text-decoration:none"><span style="font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://www.cse.iitk.ac.in/users/arnabb/</span></a><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">) </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Indrajit Bhattacharya, TCS Research and Innovation, India (</span><a href="https://sites.google.com/site/indrajitb/" style="text-decoration:none"><span style="font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://sites.google.com/site/indrajitb/</span></a><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">)</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Kripabandhu Ghosh,  Indian Institute of Technology Kanpur, India (</span><a href="https://www.cse.iitk.ac.in/users/kripa/" style="text-decoration:none"><span style="font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://www.cse.iitk.ac.in/users/kripa/</span></a><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">)</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Lipika Dey, TCS Research and Innovation, India (</span><a href="http://sites.tcs.com/blogs/research-and-innovation/author/dr-lipika-dey" style="text-decoration:none"><span style="font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">http://sites.tcs.com/blogs/research-and-innovation/author/dr-lipika-dey</span></a><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">)</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Marie-Francine Moens, KU Leuven, Belgium (</span><a href="https://people.cs.kuleuven.be/~sien.moens/" style="text-decoration:none"><span style="font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://people.cs.kuleuven.be/~sien.moens/</span></a><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">)</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Saptarshi Ghosh, Indian Institute of Technology Kharagpur, India (</span><a href="http://cse.iitkgp.ac.in/~sghosh/" style="text-decoration:none"><span style="font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">http://cse.iitkgp.ac.in/~sghosh/</span></a><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">) </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">For details, see</span><a href="https://sites.google.com/site/legaldam2018/" style="text-decoration:none"><span style="font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap"> https://sites.google.com/site/legaldam2018/</span></a></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Kind Regards,</span></font></p><font size="2"><br></font><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><b><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Kripabandhu Ghosh </span></font></b></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Co-organizer</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">LeDAM 2018 Workshop</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">CIKM 2018</span></font></p></div>