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Multilingual Lexical Simplification Pipeline (MLSP)

Multilingual Lexical Simplification Pipeline (MLSP)

Lexical simplification is the process of identifying complex words and replacing them with simpler alternatives. Previous shared tasks such as SemEval-2021 Task 1 Lexical Complexity Prediction (LCP) and TSAR-2022 considered sub-tasks such as complex word identification and lexical substitution in isolation. To fill this gap, we propose the Multilingual Lexical Simplification Pipeline (MLSP) shared task which will include multiple sub-tasks of the pipeline in a single shared task.

The Multilingual Lexical Simplification Pipeline (MLSP) shared task hosted at BEA 2024 provides participants with new annotated datasets in various languages. 

 

 

Important Dates

 

  • 16/02/2024 - Trial Data Release

  • 15/03/2024 - Test Data Release

  • 25/03/2024 - Results Submission 

  • 12/04/2024 - System Papers Due

  • 21/06/2024 - BEA Workshop

 

 

Organizers

  • Matthew Shardlow (Manchester Metropolitan University, UK)

  • Fernando Alva-Manchego (Cardiff University, UK)

  • Rémi Cardon (UC Louvain, Belgium)

  • Thomas François (UC Louvain, Belgium)

  • Kai North (George Mason University, USA)

  • Md. Nishat Raihan (George Mason University, USA)

  • Tharindu Ranasinghe (Aston University, UK)

  • Horacio Saggion (Pompeu Fabra University, Spain)

  • Marcos Zampieri (George Mason University, USA)

  • Joseph Imperial (University of Bath, UK and National University, Philippines)

  • Riza Batista-Navarro (University of Manchester, UK)

  • Adam Nohejl (NAIST, Japan)

  • Yusuke Ide (NAIST, Japan)

  • Akio Hayakawa (Pompeu Fabra University, Spain)

  • Laura Occhipinti (University of Bologna, Italy)

  • Anna Hülsing (University of Hildesheim, Germany)

  • Andrea Horbach (University of Hildesheim, Germany)

  • Stefan Bott (Pompeu Fabra University, Spain)

  • Saul Calderon Ramirez (Tecnológico de Costa Rica, Costa Rica)

  • Nelson Peréz Rojas (Tecnológico de Costa Rica, Costa Rica)

  • Martin Solis Salazar (Tecnológico de Costa Rica, Costa Rica)

 

 

Contact

[email protected]

 

We are very excited as this task includes for the first time Catalan. @Talnupf is contributing.

13.03.2024

Imatge inicial

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