Call for Papers

We invite submissions to the fourth biennial conference on Language, Data and Knowledge (LDK 2023) to be held in Vienna, Austria in September 2023. This conference aims to bring together researchers from across different disciplines concerned with the acquisition, treatment, curation and use of language data in the context of data science and knowledge-based applications. This edition builds upon the success of the inaugural event held in Galway, Ireland in 2017, the second LDK in Leipzig, Germany in 2019, and the third LDK in Zaragoza, Spain in 2021.

Paper submission

We welcome submissions of relevance to the topics listed below. Submissions can be in the form of:

  • Long papers: 9–12 pages;
  • Short papers: 4–6 pages.

All submission lengths are given including references. Accepted submissions will be published by ACL in an open-access conference proceedings volume, free of charge for authors. The ACL templates should therefore be used for all conference submissions.

As the reviewing process is single-blind, submissions should not be anonymised.

More information will be provided soon regarding the submission platform and respective link.

The conference will be hybrid (face-to-face and remote). Note that at least one author of each accepted paper must register to present the paper at the conference (either remotely or on-site). There will be no registration fee administered for participating in LDK 2023.

Presentation format

Accepted submissions will be selected for oral or poster presentations 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 between oral and poster presentations in the published proceedings. Authors of accepted short papers or posters are welcome to present their work as a demo in addition to the regular presentation. 

Topics

Relevant topics for the conference include, but are not limited to, the following fields:

Language Data
  • Language data construction and acquisition
  • Language data annotation
  • FAIR data practices for language data 
  • Language data portals and metadata about language data
  • Organisational and infrastructural management of language data
  • Multilingual, multimedia and multimodal language data
  • Evaluation, provenance and quality of language data
  • Visualisation of language data
  • Standards and interoperability of language data
  • Legal aspects of publishing language data
  • Under-resourced languages
  • e-Lexicography
  • Semantic processing
Knowledge Graphs
  • Linguistic linked data and the multilingual semantic web
  • Ontologies, terminologies, wordnets, framenets and related resources
  • Information and knowledge extraction (taxonomy extraction, ontology learning)
  • Data, information and knowledge integration across languages
  • (cross-lingual) ontology alignment
  • Entity linking and relatedness
  • Linked data profiling
  • Knowledge representation and reasoning
  • Knowledge graphs for corpora processing and analysis
Applications for Language, Data and Knowledge
  • Question answering and semantic search
  • Text analytics on big data
  • NLP for language documentation and preservation
  • Speech recognition and synthesis
  • Spoken language processing
  • Semantic content management
  • Computer-aided language learning
  • Natural language interfaces to big data
  • Knowledge-based NLP
  • Deep learning and machine learning for and on LLOD
  • Other applications
Use Cases in Language, Data and Knowledge

Contributions are welcome where the topics above – and others within the scope of Language, Data and Knowledge – are applied to domain-specific use cases, including but not limited to: social sciences and humanities, legal, life sciences, FinTech, and cybersecurity.

Important Dates
10 March 2023Paper submission deadline
28 April 2023Notification
26 May 2023Camera-ready submission deadline
12–13 September 2023Pre-conference events
14–15 September 2023Main conference

All deadlines refer to anywhere-on-earth time.

Sara Carvalho and Anas Fahad Khan (Program Chairs)