Affiliations: [a] School of Artificial Intelligence, Beijing Technology and Business University, Beijing, China | [b] State Key Laboratory of Astronautic Dynamics, Xi’an Satellite Control Center, Xi’an, Shaanxi, China
Correspondence:
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Corresponding author: Weijie Yang, School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China. E-mail: yangwj@btbu.edu.cn.
Abstract: In this paper, for the Chinese automatic question answering technology in open domain, in addition to considering the traditional association between questions and questions, the correlation between questions and answers is added. The cosine similarity between questions and answers is used as the semantic similarity between them. A bi-directional long short-term memory network (BiLSTM) is added between the question and question, answer and the answer to seek the association between the contexts. and an attention mechanism is added to make question and answer related. Finally, the experimental verification shows that the accuracy of automatic question answering by the proposed method reaches 70%.
Keywords: Cosine similarity, BiLSTM, attention mechanism, automatic question and answering
