Review quality is determined by identifying the relevance of a review to a submission (the article or paper the review was written for). We identify relevance in terms of the semantic and syntactic similarities between two texts. We use a word order graph, whose vertices, edges and double edges help determine structure-based match across texts. We use WordNet to determine semantic relatedness. Ours is a lexico-semantic approach, which predicts relevance with an accuracy of 66% and f -measure of 0.67.
['Lakshmi Ramachandran', 'Edward F. Gehringer']
Graph-Structures Matching for Review Relevance Identification