Identifying Problem Localization in Peer-Review Feedback

Abstract

In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural Language Processing techniques, the learned model significantly outperforms a standard baseline. Our work suggests that it is feasible for future tutoring systems to generate assessments… (More)
DOI: 10.1007/978-3-642-13437-1_93

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Cite this paper

@inproceedings{Xiong2010IdentifyingPL, title={Identifying Problem Localization in Peer-Review Feedback}, author={Wenting Xiong and Diane J. Litman}, booktitle={Intelligent Tutoring Systems}, year={2010} }