Download PDFOpen PDF in browserAutomated Claim Detection in Argumentative Essays and their Relationship with Writing QualityEasyChair Preprint 385010 pages•Date: July 13, 2020AbstractThis study extracted content and structural features to predict human annotations for claims and non-claims in argumentative essays. The evaluation of classification models indicated Gaussian Naive Bayes classifier yielded the most balanced identifications of claims and non-claims. We used the model to make predictions in a validation corpus that included human ratings of writing quality. The number of claims, the percentage of non-claims, and the average position of non-claims were significant indicators of essay quality. Keyphrases: argument mining, claim detection, essay quality
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