LINGUIST List 32.327
Tue Jan 26 2021
Calls: Applied Ling, Comp Ling, Gen Ling, Lexicography, Text/Corpus Ling/Spain or Online
Editor for this issue: Lauren Perkins <laurenlinguistlist.org>
Dagmar Gromann <dagmar.gromann
Third Biennial Conference on Language, Data and Knowledge E-mail this message to a friend
Full Title: Third Biennial Conference on Language, Data and Knowledge
Short Title: (LDK2021)
Date: 01-Sep-2021 - 03-Sep-2021
Location: Zaragoza, Spain
Contact Person: Dagmar Gromann
Meeting Email: < click here to access email >
Web Site: http://2021.ldk-conf.org/
Linguistic Field(s): Applied Linguistics; Computational Linguistics; General Linguistics; Lexicography; Text/Corpus Linguistics
Call Deadline: 14-Mar-2021
***In order to allow more people to attend the Conference physically, and due to the current state in the COVID-19 pandemic in Europe, we decided to postpone LDK 2021 to 1-3 September. The conference will allow remote presentations by participants who cannot attend the conference in person owing to COVID-19 traveling restrictions, but we do think that physical encounter and gossip leads to better research. Note that we took the opportunity to further extend the submission deadline to 14 March 2021.***
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.
Second Call for Papers:
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 excluding a maximum of five pages for 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.
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.
- Language Data
- Knowledge Graphs
- Applications for Language, Data and Knowledge
- Use Cases in Language, Data and Knowledge
for full topic list.
Page Updated: 26-Jan-2021