Using Information Content to Evaluate Semantic Similarity on HowNet

Evaluating Semantic similarity has a widely application areas range from Psychology, Linguistics, Cognitive Science to Artificial Intelligence. This paper proposes the merely use of HowNet to evaluate Information Content (IC) as the semantic similarity of two terms or word senses. While the conventional ways of measuring the IC of word senses must depend on both an ontology like WordNet and a large corpus, experiments of this paper prove that the semantic similarity measured in this method is easy to calculate and more approach to human judgments.