HowNet Based Chinese Question Classification

Question classification is the first step that Question Answering System must dispose, the precision of question classification greatly affect the subsequent processes. In this paper, we present a new question classification method which uses HowNet as the semantic resource to extract features, and we use Maximum Entropy Model to implement the method. The results validate the effectiveness of this method: the classification precision of coarse classes and fine classes reaches 92.18% and 83.86% respectively.