[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<mailto: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