Abstract
At present, major search engines emerge in endlessly, and the pop-up result list of search keywords makes people dizzy. In order to improve this problem and make the question query more concise and convenient, this article is based on the DuReader data set and reproduces BiDAF (Bi-Directional Attention Flow) The model builds an intelligent question answering system in the open field. The final model can extract answers to questions more accurately after training. This article embeds deep learning technology into the system and uses intelligent chat to show them.
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