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The MultiLS dataset was created as part of the MLSP2024 shared task. The dataset contains 5,624 instances across 10 target languages. Each instance consists of a sentence from an educational text, with a marked target word. For each target word in the given context, two annotations are given. Firstly, an aggregate complexity score derived from asking 10 annotators to mark the level of difficulty of the target token on a scale of 1-5. Secondly, a list of possible substitutions for the target word which would make the original sentence easier to understand whilst retaining the original meaning. These two tasks constitute important steps in the lexical simplification pipeline, a method of simplifying texts in a targeted manner for end users. Further information on the dataset and the protocols used to create it are available at the following references. Please provide citations using the bibtex entries below.
Shared Task Report
@inproceedings{shardlow2024bea,
title={{The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline}},
author={Shardlow, Matthew and Alva-Manchego, Fernando and Batista-Navarro, Riza and Bott, Stefan and Calderon Ramirez, Saul and Cardon, Rémi and François, Thomas and Hayakawa, Akio and Horbach, Andrea and Huelsing, Anna and Ide, Yusuke and Imperial, Joseph Marvin and Nohejl, Adam and North, Kai and Occhipinti, Laura and Peréz Rojas, Nelson and Raihan, Nishat and Ranasinghe, Tharindu and Solis Salazar, Martin and \v{S}tajner, Sanja and Zampieri, Marcos and Saggion, Horacio},
booktitle={Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA)},
year={2024}
}
Datasets
@inproceedings{shardlow2024readi,
title={{An Extensible Massively Multilingual Lexical Simplification Pipeline Dataset using the MultiLS Framework}},
author={Shardlow, Matthew and Alva-Manchego, Fernando and Batista-Navarro, Riza and Bott, Stefan and Calderon Ramirez, Saul and Cardon, Rémi and François, Thomas and Hayakawa, Akio and Horbach, Andrea and Huelsing, Anna and Ide, Yusuke and Imperial, Joseph Marvin and Nohejl, Adam and North, Kai and Occhipinti, Laura and Peréz Rojas, Nelson and Raihan, Nishat and Ranasinghe, Tharindu and Solis Salazar, Martin and Zampieri, Marcos and Saggion, Horacio},
booktitle={Proceedings of the 3rd Workshop on Tools and Resources for People with REAding DIfficulties (READI)},
year={2024}
}
MultiLS Framework (link)
@article{north2024multils,
title={MultiLS: A Multi-task Lexical Simplification Framework},
author={North, Kai and Ranasinghe, Tharindu and Shardlow, Matthew and Zampieri, Marcos},
journal={arXiv preprint arXiv:2402.14972},
year={2024}
}
Spanish and Catalan Datasets
@misc{bott2024multilsspca,
title={MultiLS-SP/CA: Lexical Complexity Prediction and Lexical Simplification Resources for Catalan and Spanish},
author={Stefan Bott and Horacio Saggion and Nelson Peréz Rojas and Martin Solis Salazar and Saul Calderon Ramirez},
year={2024},
eprint={2404.07814},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
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