Noisy and Unbalanced Multimodal Document Classification: Textbook Exercises as a Use Case
Elise Lincker,
Camille Guinaudeau,
Olivier Pons
et al.
Abstract:In order to foster inclusive education, automatic systems that can adapt textbooks to make them accessible to children with Developmental Coordination Disorder (DCD) are necessary. In this context, we propose a task to classify exercises according to their DCD adaptation type. We introduce a challenging exercise dataset extracted from French textbooks, with two major difficulties: limited and unbalanced, noisy data. To set a baseline on the dataset, we use state-of-the-art models combined through early and lat… Show more
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