Paragraph act based pragmatic information extraction in question answering

In Question Answering System the greatest hardship is crossing the gap between the questions and corpus to find the appropriate answers. The questions and corpus are in different context, to find the answers the inference whether one candidate sentence fits the user's request is necessary. Pragmatic is concerned with inference about the utterances and user. It is a bridge across the gap of questions and corpus. In this paper we analyze the elements of pragmatic and extract the pragmatic information from the corpus based on the paragraph act. The pragmatic information is also well organized. And the experiments show that the appended pragmatic information significantly improves the performance of the Question Answering System either the precision, recall or F score especially in the condition that the quantity of answer is restricted.