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In this paper, we set up a systematic benchmark of the most common TS datasets, basing our evaluation on different protocols for split selection (e.g.,.
Sep 21, 2021In this work we propose the task of multi-word lexical simplification, in which a sentence in natural language is made easier to understand by�...
An operation-based investigation is performed, demonstrating in detail the limitations of existing simplification datasets, and recommendations for future�...
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V�squez-Rodr�guez, L. ; Shardlow, M. ; Przybyła, P. et al. / The Role of Text Simplification Operations in Evaluation. CEUR Workshop Proceedings. 2021.
In this paper, we set up a systematic benchmark of the most common TS datasets, basing our evaluation on different protocols for split selection (e.g.,.
Title: The Role of Text Simplification Operations in Evaluation. Authors: Vasquez-Rodriguez L, Shardlow M, Przybyla P, Ananiadou S.
Apr 16, 2024In this work, we introduce a human evaluation framework to assess whether simplified texts preserve meaning using reading comprehension questions.
The Role of Text Simplification Operations in Evaluation. Type of publication: Inproceedings. Citation: V�squez-Rodr�guez:2021b. Publication status: Accepted.
Jul 5, 2022In this paper, we set up a systematic benchmark of the most common TS datasets, basing our evaluation on different protocols for split selection.
Dec 15, 2023In this work, we introduce a human evaluation framework to assess whether simplified texts preserve meaning using reading comprehension questions.