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https://ceur-ws.org/Vol-2645/preface.pdf
Introduction to the NLLP 2020 Workshop
Nikolaos Aletras Ion Androutsopoulos Leslie Barrett
The University of Sheffield Athens University of Economics and Bloomberg Law
n.aletras@sheffield.ac.uk Business lbarrett4@bloomberg.net
ion@aueb.gr
Adam Meyers Daniel Preoţiuc-Pietro
New York University Bloomberg
meyers@cs.nyu.edu dpreotiucpie@bloomberg.net
ACM Reference Format: We received 22 submissions and accepted 12 papers for an over-
Nikolaos Aletras, Ion Androutsopoulos, Leslie Barrett, Adam Meyers, and Daniel all acceptance rate of 54.5%, all with oral presentation slots. Out
Preoţiuc-Pietro. 2020. Introduction to the NLLP 2020 Workshop. In Proceed- of the 12 accepted papers, 6 are long papers, 4 are short papers
ings of the 2020 Natural Legal Language Processing (NLLP) Workshop, 24 and 2 are original work submitted as non-archival. Each paper was
August 2020, San Diego, US. ACM, New York, NY, USA, 2 pages. reviewed by at least 3 members of the Program Committee. The
papers cover a range of topics including quantitative analyses of
Welcome to the second edition of the NLLP (Natural Legal Lan-
legal documents and research, new data sets and predictive meth-
guage Processing) Workshop, co-located with KDD 2020. Due to
ods, building NLP tools to process legal documents, and system
the Covid-19 pandemic, this year the workshop is held on-line as a
descriptions for processing legal text.
live webinar.
We thank our invited speaker, Paul Nemitz, for accepting our
Many industries have embraced approaches based on Data Sci-
invitation. Paul Nemitz is the Principal Advisor in the Directorate
ence (DS), Natural Language Processing (NLP), Machine Learning
General for Justice and Consumers at the European Commission
(ML) and, more generally, Artificial Intelligence (AI), which have
and has led the reform of Data Protection legislation in the EU. He
altered healthcare, finance, education and other fields. The legal do-
will present a talk titled: "AI for language, democracy and funda-
main, however, remains largely underrepresented in this literature,
mental rights". We hope his talk will offer a fresh perspective for
despite its enormous potential for generating interesting research
the attendees and will inspire new applications in this area.
problems. Electronic tools are increasingly used for all types of
We also thank everyone who expressed interest in the work-
legal tasks and that use is predicted to grow sharply. By its very
shop, all authors of submitted papers, members of the Program
nature, the practice of law necessarily involves the analysis and
Committee who did an excellent job at reviewing papers given a
interpretation of language and data. The potential for DS, AI, NLP
short turnaround time, everyone attending the workshop, KDD
or ML to provide benefit to practitioners of law and consumers of
2020 for hosting us and the workshop and publication chairs for
legal services around the world is, therefore, enormous.
their support. We especially thank our sponsors – Bloomberg and
We organized this workshop to bring together researchers and
Bloomberg Law – for their support.
practitioners from around the world who develop DS, AI, NLP or
We are looking forward to meeting the authors and the other
ML techniques and applications for legal documents and, more
participants on-line.
generally, legal data. This is an exciting opportunity to expand the
boundaries of our field by identifying new problems and exploring Program Committee:
new data as it interacts with the full inventory of AI approaches. In
this spirit, the Organizing and Program Committee was assembled Elliott Ash, ETH Zurich (Switzerland)
to include researchers from both academia and industry, and from Tomaso Agnoloni, Institute of Legal Information Theory and Tech-
both computational and legal backgrounds. nologies (Italy)
We solicited five types of papers: (1) applications of DS, AI, NLP Ilias Chalkidis, Athens University of Economics and Business, and
or ML methods to legal tasks; (2) experimental results using and NCSR ‘Demokritos’ (Greece)
adapting DS, AI, NLP or ML methods for legal data; (3) descriptions Rajarathnam Chandramouli, Stevens Institute of Technology (US)
of new legal tasks for DS, AI, NLP or ML; (4) creation of curated Daniel Chen, Toulouse School of Economics (France)
and/or annotated resources; (5) descriptions of systems that use DS, Marina Danilevsky, IBM Research (US)
AI, NLP or ML technologies for legal documents. We also offered the Stefania Degaetano-Ortlieb, Saarland University (Germany)
option of submitting original unpublished research as non-archival Luigi Di Caro, University of Turin (Italy)
in order to accommodate publication of the work at a later date in Emmanouil Fergadiotis, Athens University of Economics and Busi-
a conference or journal. Non-archival submissions were reviewed ness, and NCSR ‘Demokritos’ (Greece)
following the same procedure as for archival submissions. Eileen Fitzpatrick, Montclair State University (US)
Frank Giaoui, Columbia Law School (US)
Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons Matthias Grabmair, Carnegie Mellon University (US)
License Attribution 4.0 International (CC BY 4.0).
NLLP @ KDD 2020, August 24th, San Diego, US Ilan Kernerman, K Dictionaries (Israel)
© 2020 Copyright held by the owner/author(s). Manolis Kourbarakis, University of Athens (Greece)
NLLP @ KDD 2020, August 24th, San Diego, US Nikolaos Aletras, Ion Androutsopoulos, Leslie Barrett, Adam Meyers, and Daniel Preoţiuc-Pietro
Seth Kulick, University of Pennsylvania (US) Jerrold Soh, Singapore Management University (Singapore)
Vasileios Lampos, University College London (UK) Gerasimos Spanakis, Maastricht University (Netherlands)
Junyi Jessy Li, University of Texas at Austin (US) Amanda Stent, Bloomberg LP (US)
How Khang Lim, Singapore Management University (Singapore) Maosong Sun, Tsinghua University (China)
Prodromos Malakasiotis, Athens University of Economics and Busi- Dimitrios Tsarapatsanis, University of York (UK)
ness, and NCSR ‘Demokritos’ (Greece) Jianqian Wang, SUNY Buffalo (US)
Jelena Mitrovic, University of Passau (Germany) Adam Wyner, Swansea University (UK)
Hamid Motahari, Ernst & Young (UK) Marcos Zampieri, Rochester Institute of Technology (US)
Georg Rehm, DFKI (Germany) Lina Zhou, University of Maryland, Baltimore County (US)
Victor Rodríguez-Doncel, Universidad Politécnica de Madrid (Spain)
Victoria Rubin, University of Western Ontario (Canada) Invited Speaker:
George Sanchez, Thomson Reuters (US) Paul Nemitz, European Commission (Belgium)
Dan Simonson, Blackboiler (US)