34.832, Summer Schools: 2nd Workshop on Knowledge Management and Process Mining for Law (KM4LAW) / Canada

Fri Mar 10 14:05:02 UTC 2023

LINGUIST List: Vol-34-832. Fri Mar 10 2023. ISSN: 1069 - 4875.

Subject: 34.832, Summer Schools: 2nd Workshop on Knowledge Management and Process Mining for Law (KM4LAW) / Canada

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Date: 
From: Francesca Grasso [fr.grasso at unito.it]
Subject: 2nd Workshop on Knowledge Management and Process Mining for Law (KM4LAW) / Canada

2nd Workshop on Knowledge Management and Process Mining for Law
(KM4LAW)

Host Institution: Université de Sherbrooke
Website: https://km4law.di.unito.it/

Dates: 17-Jul-2023 - 20-Jul-2023
Location: Sherbrooke, Québec

Focus: We welcome contributions on digital justice and digital law, as
well as modeling and conceptualization features. Potential topics and
areas to be addressed in the workshop are:

Legal ontologies, visual law, legal design, and correlated themes
(Multilingual) Thesauri, vocabularies, and taxonomies in the legal
area
Entity Recognition and Disambiguation
Training and Using Embeddings for legal text
Computational models of argumentation for legal data
Knowledge Base Population
Question Answering, Dialogue and Discourse Analysis, Query
Understanding
Link Analysis, Relation and Event Extraction
Combining Legal Text with Structured Data
Legal Text Summarization and Generation
Emerging applications in legal data & knowledge engineering
Mining legal event logs for process discovery
Predictive process monitoring on legal cases
Natural language processing techniques and systems for legal documents
Identification of legal semantic roles and extraction of named
entitiesAutomated knowledge extraction from legal text corpora
Experimental results using and adapting NLP methods for legal data
Information retrieval and multimedia search for legal documents
Process mining for legal compliance
Multilingual alignments, retrieval, extraction and analysis of legal
sources
Linked data and knowledge graphs in the legal domain
Classification or clustering of law
Domain-Specific Visual Modeling Language (DSVML) and law
Minimum Education Level: No Minimum

Description:
Artificial Intelligence (AI), Knowledge Modeling (KM), Information
Extraction (IE) and Process Mining (PM) methods are increasingly
important for many sub-domains of legal informatics, including
ontologies, argumentation, natural language processing, legal event
log analysis, eventually paired with a multilingual approach. The
Knowledge Management and Process Mining for Law (KM4LAW) workshop
intends to be a forum to focus on legal informatics from different
perspectives.

The advanced developments in AI over recent years have meant that
seemingly insurmountable problems in AI & Law are beginning to be
addressed. Accordingly, it is necessary to identify the limits of
automated systems and how such systems can handle the remaining
unsolved intentional and unintentional ambiguities and conflicts that
require legal interpretation. Therefore, research works on the limits
and unexplored opportunities offered by AI for the representation of
knowledge in the legal domain constitute worthwhile contributions for
this workshop.

Typical goals may include: classification of legal sources, legal
design and legal ontologies, similarity among legal decisions and
clustering, prediction and support during judicial decision making,
legal interpretation support, identification of evolution of legal
concepts and definitions over time, information extraction and
classification, process mining for legal compliance, detection of
linguistic phenomena and patterns in legal sources, multilingual
alignments of concepts on domestic and international legal sources,
identification of legal references and network analysis.

Linguistic Field(s): Computational Linguistics

Registration: 06-Mar-2023 to 20-May-2023

Contact Person: Francesca Grasso
                Email: fr.grasso at unito.it

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