33.2087, Calls: Comp Ling, Text/Corpus Ling/Italy

[The LINGUIST List]

LINGUIST List: Vol-33-2087. Wed Jun 22 2022. ISSN: 1069 - 4875.

Subject: 33.2087, Calls: Comp Ling, Text/Corpus Ling/Italy

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Date: Wed, 22 Jun 2022 17:04:21
From: Francesca Grasso [fr.grasso at unito.it]
Subject: KM4LAW 2022: Knowledge Management For Law

 
Full Title: Knowledge Management For Law 2022 
Short Title: KM4LAW 

Date: 26-Sep-2022 - 29-Sep-2022
Location: Bozen - Bolzano, Italy 
Contact Person: Francesca Grasso
Meeting Email: fr.grasso at unito.it
Web Site: https://km4law.di.unito.it/ 

Linguistic Field(s): Computational Linguistics; Text/Corpus Linguistics 

Call Deadline: 20-Jul-2022 

Meeting Description:

There is an increasing number of research works on the limits and unexplored
opportunities offered by AI for the representation of knowledge in the legal
domain. Typical research goals may include: classification of legal sources,
legal design (including legal ontologies), similarity among legal sources and
clustering, prediction and support in decision-making processes, legal
interpretation support, outlining the evolution of legal concepts and
definitions over time, information extraction and classification, detection of
linguistic phenomena and patterns in legal sources, multilingual alignments of
concepts on domestic and international legal sources, identifying legal
references and network analysis, analogical reasoning and compliance checking.
The Knowledge Management for Law (KM4LAW) workshop intends to be a forum to
focus on legal-linguistic informatics from a broad perspective.

This workshop focuses on the wide-ranging topic of AI, KM and IE methods in
the legal informatics and legal-linguistics fields. AI & Law involves a
variety of sub-domains, including ontologies, argumentation, legal design,
legal prediction, network analysis, and neural networks. The challenging task
of automatically extracting knowledge in textual documents has traditionally
been addressed by NLP techniques. Given the complexity and vagueness of legal
sources, extracted knowledge can be formalised into ontological models for
many purposes, including access to rights and understandability of
requirements in administrative procedures. 

This workshop is intended to be a forum bringing together all these
sub-disciplines.


Call for Papers:

Authors are invited to submit original, previously unpublished research
papers.

Papers should be written in English, following the new CEUR-ART 1-column
style. To download an offline version with the style files:
http://ceur-ws.org/Vol-XXX/CEURART.zip. It also contains DOCX template files.

All papers must be converted to PDF prior to electronic submission.

We accept two kinds of contributions:

- short paper must be between 5 to 9 pages long (excluding references)
- regular paper must be at least 10 pages long (excluding references)
At least one author of each accepted paper must register and participate in
the workshop.

According to CEUR-WS policy, the papers will be published under a CC BY 4.0
license (https://creativecommons.org/licenses/by/4.0/deed.en) that will be
included in an open-access post-proceedings volume of CEUR Workshop
Proceedings (http://ceur-ws.org/), indexed by both Scopus and DBLP.

Submissions should be made via the EasyChair system through the following
submission page: https://easychair.org/conferences/?conf=km4law




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LINGUIST List: Vol-33-2087	
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