Research and Design of Chinese Question Answer System for Heart Disease

Hao XU, Rui QIAO, Xiao-lei ZHONG


This article is aimed at the current common users to obtain information on heart disease online, citing the current popular question and answer system. this article introduces a reading comprehension model to find answers that match the questions. In order to make the reading comprehension model have better application in the question answering system, the following work is done in this article: (1) Quoted word vectors are used to process Chinese text. Since Chinese is more complicated than English, quoted word vectors are currently a better method for processing Chinese text. (2) Construct a question answering system, which can be used to get answers to questions in a paragraph.


Question answering system, Deep learning, Heart disease


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