Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification
Computation and Language
2023-02-07 v1 Machine Learning
Abstract
We report findings of the TSAR-2022 shared task on multilingual lexical simplification, organized as part of the Workshop on Text Simplification, Accessibility, and Readability TSAR-2022 held in conjunction with EMNLP 2022. The task called the Natural Language Processing research community to contribute with methods to advance the state of the art in multilingual lexical simplification for English, Portuguese, and Spanish. A total of 14 teams submitted the results of their lexical simplification systems for the provided test data. Results of the shared task indicate new benchmarks in Lexical Simplification with English lexical simplification quantitative results noticeably higher than those obtained for Spanish and (Brazilian) Portuguese.
Keywords
Cite
@article{arxiv.2302.02888,
title = {Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification},
author = {Horacio Saggion and Sanja Štajner and Daniel Ferrés and Kim Cheng Sheang and Matthew Shardlow and Kai North and Marcos Zampieri},
journal= {arXiv preprint arXiv:2302.02888},
year = {2023}
}