| As internet popularizes, more and more information are available online, providing a huge amount of resources for people. However, with the overwhelming information, people find it very difficult to find the information they need quickly and accurately. There are some search engines that can help people to search for needed information, but they are far from being satisfactory. Question answering (QA) technology is developed to meet people's demand. QA systems enable users to input a question in natural languages. The outputs of QA systems, users can find the information they need conveniently, quickly and accurately.QA technology is a very hot research direction in the field of natural language processing (NLP).It combines a large variety of NLP technologies. Presently, many research institutes have been investigating English QA technologies. But No Chinese QA systems have been proposed up to now. In this paper, we try to investigate some technologies for Chinese QA systems.In this paper, the Chinese QA system includes three main components: the problem understanding, information retrieval and answer extraction. QA detailed on understanding of the issues, information retrieval and answer extraction, as well as for each part.We have emphasis on the last part: answer extraction. I mend the arithmetic that the clustering HMM and takes out method that the clustering in the clustering HMM.This paper mainly researched a number of applications of the HMM in the natural language processing course and procedured the program of participle in QA used this model.Have studied several kinds method that Part III answer information extracts in questions and answers system for example owing to HMM, owing to maximum thermal charge, have explained that owing to that the maximum thermal charge HMM waiting and their various method comparison, by the experiment, this several kinds method the service ability comparison, and the comparison to precision and recall rate in drawing in the answer. |
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