This paper describes a supervised, knowledge-intensive approach to the automatic identification of semantic relations between nominals in English sentences. The system employs different sets of new and previously used lexical, syntactic, and semantic features extracted from various knowledge sources. At SemEval 2007 the system achieved an F-measure of 72.4% and an accuracy of 76.3%.
Roxana Girju, Brandon Beamer, Alla Rozovskaya, A.