CASIMIR: A Corpus of Scientific Articles enhanced with multiple Author-Integrated Revisions - l'unam - université nantes angers le mans
Poster De Conférence Année : 2024

CASIMIR: A Corpus of Scientific Articles enhanced with multiple Author-Integrated Revisions

Résumé

Writing a scientific article is a challenging task as it is a highly codified and specific genre, consequently proficiency in written communication is essential for effectively conveying research findings and ideas. In this article, we propose an original textual resource on the revision step of the writing process of scientific articles. This new dataset, called CASIMIR, contains the multiple revised versions of 15,646 scientific articles from OpenReview, along with their peer reviews. Pairs of consecutive versions of an article are aligned at sentence-level while keeping paragraph location information as metadata for supporting future revision studies at the discourse level. Each pair of revised sentences is enriched with automatically extracted edits and associated revision intention. To assess the initial quality on the dataset, we conducted a qualitative study of several state-of-the-art text revision approaches and compared various evaluation metrics. Our experiments led us to question the relevance of the current evaluation methods for the text revision task.

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Dates et versions

hal-04877010 , version 1 (09-01-2025)

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  • HAL Id : hal-04877010 , version 1

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Léane Jourdan, Florian Boudin, Richard Dufour, Nicolas Hernandez. CASIMIR: A Corpus of Scientific Articles enhanced with multiple Author-Integrated Revisions. LREC-COLING 2024 - The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, May 2024, Turin, Italy. ⟨hal-04877010⟩
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