Prior studies of peer review in the Natural Language Processing field have not focused on helpfulness prediction, but instead have been concerned with issues such as highlighting key sentences in papers (Sandor and Vorndran, 2009), detecting important feedback features in reviews (Cho, 2008;, and adapting peer-review assignment (Garcia, 2010).
given some similarity between peer reviews and other review types, we hypothesize that techniques used to predict review helpfulness in other domains can also be applied to peer reviews.