Inducing Chinese Selectional Preference Based on HowNet

Selectional preference (SP) is an important semantic knowledge. It can be used in various natural language processing tasks, including metaphor computing, lexicon building, syntactic structure disambiguation, word sense disambiguation, semantic role labeling, etc. However, handcrafted SP knowledge can not meet the requirement of large scale real text processing. Based on the noun taxonomy of How Net, this paper proposes a statistical and knowledge-based method to automatically induce Chinese SP. Preliminary experimental results show that the automatically acquired SP agree well with human judgment.