CFP: MIREL workshop, MIning and REasoning with Legal texts
Leon VAN DER TORRE
leon.vandertorre at uni.lu
Do Mai 10 14:01:52 CEST 2018
Call for Papers
MIREL workshop
MIning and REasoning with Legal texts
in conjunction with LuxLogAI
September 17th - Luxembourg
Deadline: July 2, 2018
The aim of MIREL-2018 workshop is to bridge the gap between the
community working on legal ontologies and NLP parsers and the community
working on reasoning methods and formal logic, in line with the
objectives of the MIREL (MIning and REasoning with Legal texts) project.
The workshop aims at fostering the scientific discussion between
approaches based on language technologies applied to the legal domain
(representing legal knowledge) and those based on legal reasoning(using
the legal knowledge to build specialized services and applications).
Background
Legal scholars and practitioners are feeling increasingly overwhelmed
with the expanding set of legislation and case law available these days,
which is assuming more and more of an international character. For
example, European legislation is estimated to be 170,000 pages long, of
which over 100,000 pages have been produced in the last ten years.
Furthermore, legislation is available in unstructured formats, which
makes it difficult for users to cut through the information overload. As
the law gets more complex, conflicting, and ever changing, more advanced
methodologies are required for analyzing, representing and reasoning on
legal knowledge.
The management of large repositories of norms, and the semantic access
and reasoning to these norms are key challenges in Legal Informatics,
which is experiencing growth in activity, also at the industrial level.
Specifically, it is necessary to address both conceptual challenges,
such as the role of legal interpretation in mining and reasoning, and
computational challenges, such as the handling of big legal data, and
the complexity of regulatory compliance.
Legal domain has always been attractive to language and semantic
technology because of its importance for the society with respect to
globalization and common markets as well as for its challenges for
formalization and specific language use. For this reason, a series of
workshops centered in legal informatics and related topics have been
organized recently; examples are ICAIL, JURIX, and JURISIN. Furthermore,
several research projects in the legal domain have been recently funded
by the EU and similar institutions, among which ``MIREL: MIning and
REasoning with Legal texts''.
Objective
The development of NLP techniques and semantic technologies for
automatic analysis and indexing of big data freely available on the web
has created opportunities for building new approaches to improve the
efficiency, comprehensibility, and consistency of legal systems.
Semantic analysis aims at relating syntactic elements – which could be
phrases, clauses, sentences, paragraphs, and whole documents - to their
meanings in a given domain, including meanings specific to legal
information. On the one hand, in recent years the EU has delivered huge
amounts of resources on EU law in many languages (such as, EuroParl,
JRC, etc.). On the other hand, the matured NLP and Semantic Web
technology provides a good inventory: for formalizing the law data in
the form of domain ontologies; for automating the process of relevant
knowledge extraction from legal documents; and for representing it in
form of Linked Data in RDF. This will support legal reasoning tasks such
as better search possibilities, compliance checking and decision
support, as well as a better presentation of the legal information to
professional and non-professional stakeholders.
The aim of MIREL-2018 workshop is to bridge the gap between the
community working on legal ontologies and NLP parsers and the community
working on reasoning methods and formal logic, towards these objectives
described above.
Topics
Language technologies for processing of legal texts
Legal reasoning (searching, compliance checking, decision support)
Ontology design patterns for the legal domain
Ontological modeling of legal data
Core and domain ontologies for the legal domain
Legal knowledge on the Web
Legal Linked Open Data
Machine learning and data mining for legal applications
Adaptation of language processing modules to legal domain
Large-scale normative reasoning
Computational methods for legal reasoning
Extraction of legal Named entities - legal citations, etc.
Legal search engines - requirements, implementations, etc.
Semantic annotations for legal texts
Formal analysis of normative concepts and normative systems
Formal analysis of the semantics/pragmatics of deontic and normative
expressions in natural language
Expressive vs. lightweight representations of legal knowledge
Legislation and case law corpora in Linked Open Data
Applications in the legal domain
Submission
We invite submissions up to 12 pages plus 3 additional pages for
bibliography and appendix, in LNCS format.
Papers will be published at the IfCoLoG Journal of Logics and their
Applications.
Authors shall submit their papers electronically via EasyChair before
the due date in PDF format.
https://sites.google.com/view/mirelworkshop2018/
Organizers
Laura Alonso Alemany, Universidad Nacional de Córdoba (Argentina)
Guillermo Simari, Universidad Nacional del Sur (Argentina)
Leon van der Torre, University of Luxembourg (Luxembourg)
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