ECNU: Effective Semantic Relations Classification without Complicated Features or Multiple External Corpora
Yuan Chen, Man Lan, Jian Su, Zhi Min Zhou, Yu Hong Xu · 2010
This paper describes our approach to the automatic identification of semantic relations between nominals in English sentences. The basic idea of our strategy is to develop machine-learning classifiers which: (1) make use of class-independent features and classifier; (2) make use of a simple and effective feature set without high computational cost; (3) make no use of external annotated or unannotated corpus at all. At SemEval 2010 Task 8 our system achieved an F-measure of 75.43% and a accuracy of 70.22%. 1