While existing web-based peer-review systems largely save instructors effort in setting up peer-review assignments and managing document assignment, there still remains the problem that the quality of peer reviews is often poor (Nelson and Schunn, 2009).
to enhance the effectiveness of existing peer-review systems, we propose to automatically predict the helpfulness of peer reviews.