Research on Web-based Chinese Question Answering System and Answer Extraction
Cai Dong · Zhongwen xinxi xuebao · 2004
Question Answering System can give users precise answer to the question presented in natural language. Currently, most of question answering systems use large scaled corpus as knowledge base to extract answer. However, the abundant web resource provides another ideal knowledge source for question answering system. The research result shows that using web resource as the information source for question answering system can get good performance for simple and factoid based questions. This paper presents an answer extraction method based on the computation of sentence similarity between the question sentence and the candidate answer sentence. We also developed a web based Chinese QA system. This system only utilizes the text snippet in the feedback of the web search engine as data resource for answer extraction. The experiment result indicates that the system can get relatively good results for the questions of the types of PERSON, TIME and NUMBER; the MRR of all questions is 0 51.