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arXiv · 1909.05309

Annotation and Classification of Sentence-level Revision Improvement

Tazin Afrin·Diane Litman
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Abstract

Studies of writing revisions rarely focus on revision quality. To address this issue, we introduce a corpus of between-draft revisions of student argumentative essays, annotated as to whether each revision improves essay quality. We demonstrate a potential usage of our annotations by developing a machine learning model to predict revision improvement. With the goal of expanding training data, we also extract revisions from a dataset edited by expert proofreaders. Our results indicate that blending expert and non-expert revisions increases model performance, with expert data particularly important for predicting low-quality revisions.

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Tazin Afrin, Diane Litman. 2019-09-03. Annotation and Classification of Sentence-level Revision Improvement. https://doi.org/10.18653/v1%2Fw18-0528

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