Abstract. Peer-review systems such as SWoRD lack intelligence for detecting and responding to problems with students' reviewing performance. While prior.

In this paper we demonstrate that features previously developed for identifying localization in paper reviews do not work well when applied to peer reviews of ...

We develop a novel algorithm tailored for reviews of argument diagrams, and demonstrate significant performance improvements in identifying problem localization ...

• LPA algorithm for identifying localization in peer review of argument diagrams. – Outperforms a model developed for paper review localization. – Combining ...

This work proposes an evaluation system that generates assessment on reviewers' reviewing skills regarding the issue of problem localization and takes a ...

In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted ...

We develop a novel algorithm tailored for reviews of argument diagrams, and demonstrate significant performance improvements in identifying problem localization ...

Identifying Localization in Peer Reviews of Argument Diagrams. Huy V. Nguyen, Diane J. Litman. https://doi.org/10.1007/978-3-642-39112-5_10 · Full text. 2013 ...

Peer review systems, e.g. SWoRD [1], need intelligence for detecting and responding to problems with students' reviewing performance.

... peer assessment: examining the effects of reviewing grades on peer ratings and peer feedback ... Identifying Localization in Peer Reviews of Argument Diagrams.