@inproceedings{saggion-etal-2022-findings,
title = "Findings of the {TSAR}-2022 Shared Task on Multilingual Lexical Simplification",
author = "Saggion, Horacio and
{\v{S}}tajner, Sanja and
Ferr{\'e}s, Daniel and
Sheang, Kim Cheng and
Shardlow, Matthew and
North, Kai and
Zampieri, Marcos",
editor = "{\v{S}}tajner, Sanja and
Saggion, Horacio and
Ferr{\'e}s, Daniel and
Shardlow, Matthew and
Sheang, Kim Cheng and
North, Kai and
Zampieri, Marcos and
Xu, Wei",
booktitle = "Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates (Virtual)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.tsar-1.31",
doi = "10.18653/v1/2022.tsar-1.31",
pages = "271--283",
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.",
}
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%0 Conference Proceedings
%T Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification
%A Saggion, Horacio
%A Štajner, Sanja
%A Ferrés, Daniel
%A Sheang, Kim Cheng
%A Shardlow, Matthew
%A North, Kai
%A Zampieri, Marcos
%Y Štajner, Sanja
%Y Saggion, Horacio
%Y Ferrés, Daniel
%Y Shardlow, Matthew
%Y Sheang, Kim Cheng
%Y North, Kai
%Y Zampieri, Marcos
%Y Xu, Wei
%S Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
%D 2022
%8 December
%I Association for Computational Linguistics
%C Abu Dhabi, United Arab Emirates (Virtual)
%F saggion-etal-2022-findings
%X 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.
%R 10.18653/v1/2022.tsar-1.31
%U https://aclanthology.org/2022.tsar-1.31
%U https://doi.org/10.18653/v1/2022.tsar-1.31
%P 271-283
Markdown (Informal)
[Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification](https://aclanthology.org/2022.tsar-1.31) (Saggion et al., TSAR 2022)
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.