Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing 2022
DOI: 10.18653/v1/2022.emnlp-main.121
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Linguistic Corpus Annotation for Automatic Text Simplification Evaluation

Abstract: Evaluating automatic text simplification (ATS) systems is a difficult task that is either performed by automatic metrics or user-based evaluations. However, from a linguistic point-ofview, it is not always clear on what bases these evaluations operate. In this paper, we propose annotations of the ASSET corpus that can be used to shed more light on ATS evaluation. In addition to contributing with this resource, we show how it can be used to analyze SARI's behavior and to re-evaluate existing ATS systems. We pre… Show more

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