Study on Question-answering System of Restricted Domain Based on Knowledge Base

摘要

Large-scale texts as tbe knowledge base of extracting answer can ensure tbe accuracy of information resources and also make information convenient for management. This paper presents the development of question-answer system of restricted domain based on knowledge base and proposes an answer extraction method based on the sentence similarity and organization-names, and which implements the study of question-answering system of restricted domain based on knowledge base. The experiments prove that the introduction of organization-names not only greatly improves the segmentation accuracy in the module of words segmentation but also improves the retrieval efficiency of system and the accuracy of answer extraction.