31.3012, Calls: Applied Ling, Comp Ling, Gen Ling, Lexicography, Text/Corpus Ling/Spain

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LINGUIST List: Vol-31-3012. Mon Oct 05 2020. ISSN: 1069 - 4875.

Subject: 31.3012, Calls: Applied Ling, Comp Ling, Gen Ling, Lexicography, Text/Corpus Ling/Spain

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Date: Mon, 05 Oct 2020 16:04:18
From: Dagmar Gromann [dagmar.gromann at gmail.com]
Subject: Third Biennial Conference on Language, Data and Knowledge

 
Full Title: Third Biennial Conference on Language, Data and Knowledge 
Short Title: (LDK2021) 

Date: 14-Jun-2021 - 16-Jun-2021
Location: Zaragoza, Spain 
Contact Person: Dagmar Gromann
Meeting Email: dagmar.gromann at gmail.com
Web Site: http://2021.ldk-conf.org/ 

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

Call Deadline: 29-Jan-2021 

Meeting Description:

Language, Data and Knowledge (LDK) aims at bringing together researchers from
across disciplines concerned with the acquisition, curation and use of
language data in the context of data science and knowledge-based applications.
With the advent of the Web and digital technologies, an ever increasing amount
of language data is now available across application areas and industry
sectors, including social media, digital archives, company records, etc. The
efficient and meaningful exploitation of this data in scientific and
commercial innovation is at the core of data science research, employing NLP
and machine learning methods as well as semantic technologies based on
knowledge graphs

Language data is of increasing importance to machine learning-based approaches
in NLP, Linked Data and Semantic Web research and applications that depend on
linguistic and semantic annotation with lexical, terminological and
ontological resources, manual alignment across language or other
human-assigned labels. The acquisition, provenance, representation,
maintenance, usability, quality as well as legal, organizational and
infrastructure aspects of language data are therefore rapidly becoming major
areas of research that are at the focus of the conference.

Knowledge graphs is an active field of research concerned with the extraction,
integration, maintenance and use of semantic representations of language data
in combination with semantically or otherwise structured data, numerical data
and multimodal data among others. Knowledge graph research builds on the
exploitation and extension of lexical, terminological and ontological
resources, information and knowledge extraction, entity linking, ontology
learning, ontology alignment, semantic text similarity, Linked Data and other
Semantic Web technologies. The construction and use of knowledge graphs from
language data, possibly and ideally in the context of other types of data, is
a further specific focus of the conference.

A further focus of the conference is the combined use and exploitation of
language data and knowledge graphs in data science-based approaches to use
cases in industry, including biomedical applications, as well as use cases in
humanities and social sciences.


Call for Papers: 

We invite submissions to the third biennial conference on Language, Data and
Knowledge (LDK 2021), which will be held in Zaragoza, Spain in June 2021. This
conference aims at bringing together researchers from across disciplines
concerned with the acquisition, curation and use of language data in the
context of data science and knowledge-based applications. This builds upon the
success of the inaugural event held in Galway, Ireland in 2017 and the second
LDK in Leipzig, Germany in 2019.

Paper submission:
We welcome submission of relevance to the topics listed below. Submissions can
be in the form of:
Long research papers: 10-15 pages;
Short research or position papers: 6-8 pages;
Short scientific abstract submissions: be 4-6 pages.
Short abstracts on new challenges and research ideas (“Crazy New Ideas”): 1-4
pages

This year, we would like to propose a “Crazy New Ideas” session that will be
the occasion to present challenging research ideas that have not yet been
fully explored, or you would like to see in ten years from now. Such ideas
should be briefly presented in the form of a short abstract of one to four
pages to initiate the discussions, which will also be included in the
conference proceedings if permitted by the authors. This is your chance to be
creative without censorship. Reviews for these abstract will focus on the
potential of ideas to spark interesting discussions. 

All submissions lengths are given including references and optional
appendices. Accepted submissions will be published by OASIcs in an open-access
conference proceedings volume free of charge for authors. 

The OASIcs layout templates to be used for submissions are available for
download from : 
https://www.dagstuhl.de/en/publications/oasics/instructions-for-authors/
As the reviewing process is single-blind, submissions should not be
anonymized.

Papers should be submitted via EasyChair at the following address:
https://easychair.org/my/conference?conf=ldk2021#

For each submitted paper, one author is expected to attend the conference and
present their work. There will be no registration fee administered for LDK
2021. 

Presentation format:
Accepted submissions will be selected for oral or poster presentation based on
recommendations from the reviewers. This decision will not reflect any
difference in the quality of the papers, and there will be no distinction in
the published volumes. 
Authors of accepted short papers and scientific abstract are welcome to
present their work as a demo in addition to the regular presentation.
At least one author of each accepted paper must register to present the paper
at the conference.

Topics:
- Language Data
- Knowledge Graphs
- Applications for Language, Data and Knowledge
- Use Cases in Language, Data and Knowledge
See http://2021.ldk-conf.org/call-for-papers/ for full topic list.




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