Journal article

A multimodal approach to assessing document quality

A Shen, B Salehi, J Qi, T Baldwin

Journal of Artificial Intelligence Research | AI Access Foundation | Published : 2020


The perceived quality of a document is affected by various factors, including grammaticality, readability, stylistics, and expertise depth, making the task of document quality assessment a complex one. In this paper, we explore this task in the context of assessing the quality of Wikipedia articles and academic papers. Observing that the visual rendering of a document can capture implicit quality indicators that are not present in the document text - such as images, font choices, and visual layout - we propose a joint model that combines the text content with a visual rendering of the document for document quality assessment. Our joint model achieves state-of-the-art results over five datase..

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