[CfP] Call for Papers - 1st Workshop on Legal Information Retrieval meets Artificial Intelligence (LIRAI) @ACM Hypertext 23

LIRAI @HT2023 - 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: *** JUNE 28, 2023 ***

- CEUR Workshops proceedings

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ABSTRACT

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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 both short and regular 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

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* Paper submission deadline: June 28, 2023

* Authors notification: July 24, 2023

* Camera-Ready submission deadline: August 6, 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

Received on Friday, 19 May 2023 17:05:54 UTC