Question Interpretation and Question Classification Based on Dependency Relations
基于依存关系的问句理解与问句分类

Question interpretation is the first step of question answering system. Question classification is the main part of the question interpretation and it plays a crucial important role in the question answering system because categorizing a given question is beneficial to identify an answer in the documents. The goal of question classification is to accurately assign labels to question based on expected answer type. In this paper, we use dependency relation rules and statistical method to understand questions and classify questions. In this experiment, we perform the SVM algorithm and a dependency relationships feature extraction method to get high classification accuracy.