32.583, Calls: Comp Ling/Estonia
The LINGUIST List
linguist at listserv.linguistlist.org
Tue Feb 16 19:23:43 UTC 2021
LINGUIST List: Vol-32-583. Tue Feb 16 2021. ISSN: 1069 - 4875.
Subject: 32.583, Calls: Comp Ling/Estonia
Moderator: Malgorzata E. Cavar (linguist at linguistlist.org)
Student Moderator: Jeremy Coburn
Managing Editor: Becca Morris
Team: Helen Aristar-Dry, Everett Green, Sarah Robinson, Lauren Perkins, Nils Hjortnaes, Yiwen Zhang, Joshua Sims
Jobs: jobs at linguistlist.org | Conferences: callconf at linguistlist.org | Pubs: pubs at linguistlist.org
Homepage: http://linguistlist.org
Please support the LL editors and operation with a donation at:
https://funddrive.linguistlist.org/donate/
Editor for this issue: Lauren Perkins <lauren at linguistlist.org>
================================================================
Date: Tue, 16 Feb 2021 14:23:25
From: Agata Savary [agata.savary at univ-tours.fr]
Subject: International Workshop on Intelligent Data – From Data to Knowledge
Full Title: International Workshop on Intelligent Data – From Data to Knowledge
Short Title: DOING 2021
Date: 24-Aug-2021 - 24-Aug-2021
Location: Tartu, Estonia
Contact Person: Mírian Halfeld Ferrari
Meeting Email: mirian at univ-orleans.fr
Web Site: https://www.univ-orleans.fr/lifo/evenements/doing/?page_id=551
Linguistic Field(s): Computational Linguistics
Call Deadline: 09-Apr-2021
Meeting Description:
Text are important sources of information and communication in diverse
domains. The intelligent, efficient and secure use of this information
requires, in most cases, the transformation of unstructured textual data into
data sets with some structure, and organized according to an appropriate
schema that follows the semantics of an application domain. Indeed, solving
the problems of modern society requires interdisciplinary research and
information cross-referencing, thus surpassing the simple provision of
unstructured data. There is a need for representations that are more flexible,
subtle and context-sensitive, which can also be easily accessible via
consultation tools and evolve according to these principles. In this context,
consultation requires robust and efficient processing of requests, which may
involve information analysis, with quality, consistency, and privacy
preservation guarantees. Knowledge bases can be built as these new generation
infrastructures which support data science queries on a user-friendly
framework and are capable of providing the required machinery for advised
decision-making.
The workshop focuses on transforming data into information and then into
knowledge. The idea is to gather researchers in NLP (Natural Language
Processing), DB (Databases), and AI (Artificial Intelligence) to discuss two
main problems :
- how to extract information from textual data and represent it in knowledge
bases;
- how to propose intelligent methods for handling and maintaining these
databases with new forms of requests, including efficient, flexible, and
secure analysis mechanisms, adapted to the user, and with quality and privacy
preservation guarantees.
This workshop focuses on all aspects concerning these modern infrastructures,
giving particular attention (but not limited to) to data related to health and
environmental domains.
Call for Papers:
We invite the submission of work-in-progress that address various aspects of
information extraction from textual data, intelligent and efficient
interrogation, and maintenance of knowledge bases. The workshop welcomes
submissions of theoretical, technical, experimental, methodological papers,
application papers, position papers and papers on experience reports
addressing – though not limited to – the following topics:
- Artificial intelligence in databases and information systems
- Data curation, annotation, and provenance
- Data management and analytics
- Data mining and knowledge discovery
- Data models and query languages
- Data quality and data cleansing
- Data science (theory and techniques)
- Context-aware and adaptive information systems
- Constraints extraction from text
- Natural language processing
- Indexing, query processing and optimization
- Information and knowledge extraction
- Information integration
- Information quality
- Graph databases
- Knowledge bases (querying, management, evolution and dynamics)
- Machine learning for knowledge graph construction, completion, refinement
- Machine learning for knowledge and information extraction, for instance,
named entity disambiguation, sentiment analysis, relation extraction, or the
detection of claims, facts and stances from unstructured documents
- Machine Learning in NLP
- Methodologies, models, algorithms, and architectures for applied data
science
- NLP for Digital Humanities
- NLP & Knowledge Graphs
- Privacy, trust and security in databases
- Query processing and optimization
- Question answering over knowledge graphs
- Text databases
Preferred Application Domains (but not limited to):
- Bio-sciences and healthcare
- Urban economy and urban environments
- Energy
DOING workshop intends to accept short (limited to 6 pages) and long (limited
to 12 pages) papers. DOING reserves the right to accept as short papers those
submitted as long, describing interesting and innovative ideas but still
requiring further technical development. Papers should be written in English,
formatted in Latex and present substantially original results. We adopt a
double blind review policy: the papers submitted for review MUST NOT contain
the authors’ names, affiliations, or any information that may disclose the
authors’ identity. Authors should consult Springer’s authors’ guidelines and
use their proceedings templates (you can download the templates available on
the bottom of that page).
Papers must be submitted via EASY CHAIR (link TBD)
Accepted papers will be published in the Springer CCIS series and the best
papers will be invited to a special issue of the journal Computer Science and
Information Systems.
Important Dates:
Paper submission: April 9, 2021
Notification of acceptance: May 14, 2021
------------------------------------------------------------------------------
*************************** LINGUIST List Support ***************************
The 2020 Fund Drive is under way! Please visit https://funddrive.linguistlist.org
to find out how to donate and check how your university, country or discipline
ranks in the fund drive challenges. Or go directly to the donation site:
https://crowdfunding.iu.edu/the-linguist-list
Let's make this a short fund drive!
Please feel free to share the link to our campaign:
https://funddrive.linguistlist.org/donate/
----------------------------------------------------------
LINGUIST List: Vol-32-583
----------------------------------------------------------
More information about the LINGUIST
mailing list