Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification

Horacio Saggion, Sanja Štajner, Daniel Ferrés, Kim Cheng Sheang, Matthew Shardlow, Kai North, Marcos Zampieri


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.
Anthology ID:
2022.tsar-1.31
Volume:
Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
Month:
December
Year:
2022
Address:
Abu Dhabi, United Arab Emirates (Virtual)
Editors:
Sanja Štajner, Horacio Saggion, Daniel Ferrés, Matthew Shardlow, Kim Cheng Sheang, Kai North, Marcos Zampieri, Wei Xu
Venue:
TSAR
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
271–283
Language:
URL:
https://aclanthology.org/2022.tsar-1.31
DOI:
10.18653/v1/2022.tsar-1.31
Bibkey:
Cite (ACL):
Horacio Saggion, Sanja Štajner, Daniel Ferrés, Kim Cheng Sheang, Matthew Shardlow, Kai North, and Marcos Zampieri. 2022. Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification. In Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022), pages 271–283, Abu Dhabi, United Arab Emirates (Virtual). Association for Computational Linguistics.
Cite (Informal):
Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification (Saggion et al., TSAR 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-1/2022.tsar-1.31.pdf
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 https://preview.aclanthology.org/nschneid-patch-1/2022.tsar-1.31.mp4