CFP: 2nd Workshop on Legal Information Retrieval meets Artificial Intelligence (LIRAI) @ACM HT 2024
Sabine Wehnert
LIRAI @HT2024 - Call for Papers
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2nd Workshop on Legal Information Retrieval meets Artificial Intelligence (LIRAI)
held in conjunction with ACM Hypertext 2024 (https://ht.acm.org/ht2024/), Poznan, Poland
9 or 10 September 2024 (tbd)
Twitter: https://twitter.com/LIRAI_Workshop
Web: https://sites.google.com/view/LIRAI-2024
Submission: https://easychair.org/conferences/?conf=lirai24
For any information: li...@ovgu.de
Highlights:
Submission Deadline: 18 June 2024
Workshop proceedings will be submitted to CEUR-WS.org for publication.
Workshop aims:
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.
Important Dates:
Paper submission deadline: 18 June 2024
Authors notification: 24 July 2024
Camera-Ready submission deadline: 13 August 2024
Workshop: 9 or 10 September 2024 (final date tbd)
All deadlines must be considered at 23:59 Anywhere-On-Earth (AoE)
Workshop Topics:
We solicit original contributions concerning the combination of Information Retrieval (IR) and Artificial Intelligence (AI) on the legal domain. Following the insightful discussions during the previous edition, this year’s edition will be focused on explainable / justifiable artificial intelligence, hybrid systems that combine formal approaches and machine learning-based methods, including deep learning-based methods, and finally generative artificial intelligence. Still, we welcome submissions fitting any of the following topics:
Hypertext-based legal systems
Legal information extraction / retrieval
Legal knowledge graphs / ontologies
Relation extraction from legal documents
Explainability / Justifiability in legal retrieval
High-recall settings in legal document retrieval
Legal document formats and organization
FAIR publication of legal documents
Hybrid systems of formal approaches and machine learning or deep learning for legal retrieval
Generative artificial intelligence in legal information extraction / retrieval
Submission:
We solicit the submission of the following contribution types:
Regular papers: 10-14 "standard" pages excluding references
Short papers: 5-9 "standard" pages excluding references
Note: As short papers, we accept different kinds of submissions that can stimulate discussions in the panel. We invite submissions with preliminary findings, industrial and demo papers, position papers, as well as discussions on emerging topics.
Papers shall be formatted in one-column format, following the official templates and requirements of CEUR-WS:
You can download the CEUR-ART template for Word (DOCX) and LaTeX here: http://ceur-ws.org/Vol-XXX/CEURART.zip;
You can alternatively use the Overleaf template: https://www.overleaf.com/read/gwhxnqcghhdt
The authors shall follow relevant best practices to ensure reproducibility of their research. including the publication of code, data, experimental experimental workflows and any relevant supplementary material in public repositories (e.g., Bitbucket, GitHub or Zenodo) whenever legally possible.
Contributions must be submitted via EasyChair: https://easychair.org/conferences/?conf=lirai24
Submitted contributions must be original and 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.
After Acceptance:
Accepted papers will be collected in workshop proceedings, which will be submitted for publication to CEUR-WS.org.
Authors of accepted papers will be invited to present their work during the workshop in-person, and at least one author of each accepted paper must register for and attend the workshop. Justified exceptions to the in-person rule may apply.
Workshop Chairs
Sabine Wehnert
Otto von Guericke University
Magdeburg, Germany
Leibniz Institute for Educational
Media | Georg Eckert Institute
Brunswick, Germany
Manuel Fiorelli
Tor Vergata University of Rome
Rome, Italy
Davide Picca
University of Lausanne
Lausanne, Switzerland
Ernesto William De Luca
Otto von Guericke University
Magdeburg, Germany
Leibniz Institute for Educational
Media | Georg Eckert Institute
Brunswick, Germany
Armando Stellato
Tor Vergata University of Rome
Rome, Italy