An Approach of Hybrid Hierarchical Structure for Word Similarity Computing by HowNet
Jiangming Liu, Jinan Xu, Yujie Zhang · International Joint Conference on Natural Language Processing · 2013
Word similarity computing is an important and fundamental task in the field of natural language processing. Most of word similarity methods perform well in synonyms, but not well between words whose similarity is vague. To overcome this problem, this paper proposes an approach of hybrid hierarchical structure computing Chinese word similarity to achieve fine-grained similarity results with HowNet 2008. The experimental results prove that the method has a better effect on computing similarity of synonyms and antonyms including nouns, verbs and adjectives. Besides, it performs stably on standard data provided by SemEval 2012.