Papers with Sentence Simplification

3 papers
EASSE: Easier Automatic Sentence Simplification Evaluation (D19-3)

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Challenge: EASSE provides access to a broad range of evaluation resources including standard automatic metrics, word-level accuracy scores and reference-independent quality estimation features.
Approach: They propose to provide a Python package that provides access to automatic evaluation and comparison of Sentence Simplification (SS) systems.
Outcome: The proposed tool allows comparison and understanding of the performance of Sentence Simplification (SS) systems.
CSSWiki: A Chinese Sentence Simplification Dataset with Linguistic and Content Operations (2024.lrec-main)

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Challenge: Existing datasets for sentence simplification focus on English, but limited in Chinese . SS tasks are aimed at improving readability and making sentences more accessible for readers .
Approach: They propose an open-source dataset for Chinese sentence simplification based on Wikipedia . they analyze differences in annotation scheme and data statistics between datasets .
Outcome: The proposed dataset contains 1.6k source sentences paired with their simplified versions.
A New Dataset and Empirical Study for Sentence Simplification in Chinese (2023.acl-long)

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Challenge: Sentence simplification is a valuable technique that can benefit language learners and children.
Approach: They propose a dataset for assessing sentence simplification in Chinese using manual simplifications from human annotators.
Outcome: The proposed dataset shows that Chinese sentences are more accessible to children and nonnative readers than English sentences.

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