- From: Manuel Fiorelli <manuel.fiorelli@gmail.com>
- Date: Wed, 21 Jun 2023 19:17:48 +0200
- To: public-ontolex <public-ontolex@w3.org>
- Cc: lirai@ovgu.de
- Message-ID: <CAGDmdGghMjfSmNvk0zoxQ8KGrLncT=Qs6A4wuNmNYEeS=C=e9Q@mail.gmail.com>
LIRAI @HT2023 - SECOND CALL FOR PAPERS
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1st Workshop on Legal Information Retrieval meets Artificial Intelligence
(LIRAI)
held in conjunction with ACM Hypertext 2023 (https://ht.acm.org/ht2023/),
Rome, Italy
September 4-8, 2023
Twitter: https://twitter.com/LIRAI_Workshop
Web: https://sites.google.com/view/LIRAI-2023
Submission: https://easychair.org/conferences/?conf=lirai23
For any information: lirai@ovgu.de
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HIGHLIGHTS
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- SUBMISSION DEADLINE (EXTENDED): *** JULY 5, 2023 ***
- ADDITIONAL SUBMISSION TYPE: Late Breaking Papers
- CEUR Workshops proceedings
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ABSTRACT
========
The Legal Information Retrieval meets Artificial Intelligence (LIRAI)
workshop series aims to provide a venue hosting discussion of novel ideas,
evaluations, and success stories concerning the application of Artificial
Intelligence (AI) and Information Retrieval (IR) to the legal domain.
All around the world, lawmakers, legal professionals, and citizens must
cope with the sheer amount of legal knowledge present in legal documents.
These documents can be norms, regulations, directives, legal cases, and
other relevant material for legal practitioners, such as legal commentary.
The continuous evolution of legal documents is a challenging setting, with
implicit relationships playing an important role beyond explicit
references. Recently, the adoption of shared machine-readable formats and
FAIR principles, as well as methods and practices from the Semantic Web,
have certainly improved the accessibility of legal knowledge and its
interoperability. Still, retrieving legal knowledge and making sense of it
are not solved problems.
The legal community often has special requirements for retrieval systems
(e.g., high recall, explainability). Artificial Intelligence (AI) is
positioned as a lever to enhance our ability to find, understand, and
correlate legal information, and to comprehend its relationship to reality,
in terms of compliance evaluation and risk/benefit analysis. We call
contributions on these topics in the form of papers, which will be
collected in an open-access proceedings published on CEUR-WS.org and thus
indexed by Scopus, DBLP, Google Scholar, and other citation databases.
The First Workshop on Legal Information Retrieval meets Artificial
Intelligence (LIRAI 2023) aims to foster a cross-disciplinary and
interdisciplinary discussion between experts from different fields (e.g.,
computer science, psychology, sociology, law, medicine, business, etc.) in
order to discuss the interdependencies between Legal AI and Legal IR.
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TOPICS
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Hypertext-based legal systems
Legal information retrieval
Legal information extraction
Legal knowledge graphs
Relation extraction from legal documents
Explainability in legal document retrieval
High-recall settings in legal document retrieval
Legal ontologies
Legal document formats
FAIR publication of legal documents
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SUBMISSIONS
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We encourage the submission of original contributions on both topics (IR
and AI) related to legal issues. Treating legal documents as the hypertexts
they are by now, this workshop sheds light on this topic as an interesting
and challenging use case for the conference audience. Given the
availability of legal documents online, their binding nature and relevance
for businesses, institutions, and individuals in their daily lives, it is
evident that developing systems that help gather and understand relevant
information is crucial.
In most legal traditions, legal knowledge evolved as an intricate hypertext
spread across a large body of diverse documents woven together by explicit
references. Since countries are digitizing their legal systems with the
adoption of machine-readable formats for the interchange of legal
information, their body of legal knowledge is provided as hypertexts.
Furthermore, the adoption of Web technologies, in particular those of the
Semantic Web, means that legal knowledge is not only available on the web,
but it is also part of the web, which is perhaps the most successful
example of hypertext to date.
As a hypertext, a legal document base has its own characteristics that
distinguish it from other hypertexts and make it a special case study of
interest in its own right. These include the practice of amending previous
documents in subsequent ones, and the challenging nature of implicit
relationships between documents, which are not fully covered by explicit
hyperlinks.
Submitted papers must not be under review in any other conference, workshop
or journal at the time of submission.
All submitted papers will be evaluated by at least two members of the
program committee through a single-blind peer-review process, based on
their originality, technical quality, clarity and relevance to the workshop.
Authors of accepted papers will be invited to present their work during the
workshop, and at least one author of each accepted paper must register for
and attend the workshop.
We accept short and regular papers, as well as position papers, demos,
industrial papers and late breaking papers. The submission guidelines can
be found on the Workshop website:
https://sites.google.com/view/lirai-2023/call-for-papers
Submission site: https://easychair.org/conferences/?conf=lirai23
<https://easychair.org/conferences/?conf=lirai23>
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IMPORTANT DATES
===============
* Paper submission deadline: July 5, 2023
* Authors notification: July 31, 2023
* Camera-Ready submission deadline: August 13, 2023
* Workshop: September 4-8, 2023 (final date tbd)
All deadlines must be considered at 23:59 Anywhere-On-Earth (AoE) timezone.
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PROCEEDINGS
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Accepted papers will be published as open access workshop proceedings via
CEUR-WS.org.
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ORGANIZATION
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Ernesto W. De Luca - Otto von Guericke University Magdeburg & Leibniz
Institute for Educational Media | Georg Eckert Institute, Germany
Manuel Fiorelli - University of Rome Tor Vergata, Italy
Davide Picca - University of Lausanne, Switzerland
Armando Stellato - University of Rome Tor Vergata, Italy
Sabine Wehnert - Otto von Guericke University Magdeburg & Leibniz Institute
for Educational Media | Georg Eckert Institute, Germany
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PROGRAM COMMITTEE BEING STILL FINALIZED
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List of PC members (more confirming):
Tommaso Agnoloni, ITTIG-CNR, Italy
Ilaria Angela Amantea, University of Torino, Italy
Dennis Aumiller, Heidelberg University, Germany
Valerio Basile, University of Turin, Italy
Luigi DI CARO, University of Turin, Italy
Mi-Young Kim, University of Alberta, Canada
Rūta Liepiņa, University of Bologna, Italy
Patricia Martín-Chozas, Universidad Politécnica de Madrid, Spain
Elena Montiel-Ponsoda, Universidad Politécnica de Madrid, Spain
Jack Mumford, University of Liverpool, UK
Monica Palmirani, University of Bologna, Italy
Harshvardhan J. Pandit, Trinity College, Dublin
Ginevra Peruginelli, ITTIG-CNR, Italy
Ken Satoh, Institute of Informatics and Sokendai, Japan
Andrea Tagarelli, University of Calabria, Italy
Eugene Yang Human Language Technology Center of Excellence, Johns Hopkins
University, USA
Masaharu Yoshioka, Hokkaido University, Japan
Tomasz Zurek, T.M.C. Asser Institute, University of Amsterdam
Marc van Opijnen, Publications Office of the Netherlands, The Netherlands
Received on Wednesday, 21 June 2023 17:18:06 UTC