Call for papers


The workshop is motivated by the (perceived) growing divide between classical pipeline architectures and the recent focus on end-to-end approaches. We believe that there is more common ground than currently considered on both sides. It would be beneficial to bring all interested researchers together at this workshop to explore future directions.

Participants are asked to submit their work in short paper format. All individual submissions will be presented as posters. Participants will be asked to specifically address the questions from the call (i.e. relationship to frameworks and end-to-end systems etc).


Topics of interest include, but are not limited to:

  • NLP pipeline architectures
  • End-to-end architectures
  • Limitations of either approach
  • Reproducibility issues arising from architecture choices
  • Orchestration of NLP solutions
  • Scalability issues
  • Environmental impact
  • Explainability issues
  • Flexibility / extensibility
  • Licensing / integration issues
  • Sensitivity to adversarial attacks
  • Required amount of training data
  • (In)ability to update models / continue training
  • Cross programming language issues
  • Interoperability and compositionality of components.

"Indentify, Describe and Share your LRs!" initiative:

Describing your Language Resources (LRs) in the LRE Map is now a normal practice in the submission procedure of LREC (introduced in 2010 and adopted by other conferences). To continue the efforts initiated at LREC 2014 about “Sharing LRs” (data, tools, web-services, etc.), when submitting a paper, authors will have the possibility to upload LRs in a special LREC repository. This effort of sharing LRs, linked to the LRE Map for their description, may become a new “regular” feature for conferences in our field, thus contributing to creating a common repository where everyone can deposit and share data.

As scientific work requires accurate citations of referenced work so as to allow the community to understand the whole context and also replicate the experiments conducted by other researchers, LREC 2020 endorses the need to uniquely Identify LRs through the use of the International Standard Language Resource Number (ISLRN,, a Persistent Unique Identifier to be assigned to each Language Resource. The assignment of ISLRNs to LRs cited in LREC papers will be offered at submission time.

Submission and Reviewing

Papers should be formatted according to the stylesheet to be provided at the author kit section on the LREC 2020 website and should not exceed 8 pages, including references and appendices. While we do not have a dedicated track for short papers, we also welcome papers making a contribution to the topics of interest in less than 8 pages. We also welcome system descriptions, opinion pieces, or surveys. If in doubt whether your paper is relevant for the workshop, please get in touch.

Papers should be submitted in PDF format through the LREC START system.

As usual with LREC, reviewing is single-blind, i.e. authors are not anonymous, but reviewers will be. Especially for describing ongoing work on frameworks or tools it is often highly impractical to hide authorship.

Accepted papers will be presented as posters (dimensions TBA). All accepted papers will be published in the workshop proceedings.