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arXiv 2302.02888cs.CLcs.LG

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

Universitat Pompeu Fabra(庞培法布拉大学);Manchester Metropolitan University(曼彻斯特城市大学);George Mason University(乔治梅森大学)

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

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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