Call for Papers

Submission Information

There are two types of submissions:

  • Abstract (500-1,000 words) OR
  • Full paper (6-10 pages)

For formatting guidelines for full papers, please use the LREC submission format (http://lrec2020.lrec-conf.org/en/submission/authors-kit/). Both abstracts and full papers will address any of the topics included in this CfP, but full papers have the advantage of presenting the authors’ work and ideas at a greater level of detail. All submissions must be received by the deadline below and will be reviewed by experts in the field. Accepted proposals will be invited (but not required) to submit the full paper for publication in the workshop proceedings.

Please use the START system for your submissions.

It is available at: https://www.softconf.com/lrec2020/GLOBALEX2020/

Important Dates

Submission deadline: February 23, 2020

Notification of acceptance: March 13, 2020

Camera-ready papers: April 15, 2020

GLOBALEX Workshop: May 12, 2020

Main Topics

We welcome any topic related to the main theme of linking lexicographic resources, including but not limited to:

  • Linking monolingual dictionaries and lexicographic resources
  • Linking bilingual dictionaries and lexicographic resources
  • Linking multilingual dictionaries and lexicographic resources
  • Linking lexicographic data with other lexical data resources
  • Applications and developments of the OntoLex-lemon model and its lexicography module
  • RDF serializations of lexicographic data
  • Non-RDF data formats for linked lexicographic resources
  • RDF and XML standards for linked lexicography
  • Converting lexicographic data for linking purposes
  • Linked Data-native lexicographic resources
  • Automated generation of lexicographic resources based on Linked Data technologies
  • Lexicography, terminology and Linguistic Linked (Open) Data
  • Linked lexicography and the Semantic Web
  • Linked lexicography and the Multilingual Digital Single Market
  • Linked lexicography and Knowledge Systems
  • Linked lexicography and Artificial/Augmented Intelligence
  • Linked lexicography, deep learning and neural networks

Audience

  • Lexicographers and dictionary makers
  • Computational and corpus linguists
  • NLP researchers and engineers
  • Terminologists
  • Big data analysts
  • Reference scientists and knowledge system managers