Question Answering System of Confucian Analects based on Pragmatics Information and Categories

This paper constructs a question answering system of Confucian Analects. As a result of context change and the difference of words' connotation between modern Chinese and ancient Chinese, the accuracy of content-based retrieval and category-based retrieval in the classical literature is quite low. In view of this, the paper has established the categories and pragmatics information base for Confucian Analects. It also proposes a retrieval method based on pragmatics information and categories. To increase accuracy and efficiency, the category keyword collection and the question type keyword table are established as well. When the system recognize the type and category of the user's question, it uses key word semantic matching. Namely, the category keyword collection and the question type keyword table are separately used to decide the category and the type. The experiments evidenced the effectiveness of answer extraction approach based on pragmatics information specific to in query with deep meaning.