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%.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Computational Methods in Sciences and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
