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A Chinese automatic question answering technique based on semantic similarity
- Source :
- Journal of Computational Methods in Sciences and Engineering. 21:1925-1933
- Publication Year :
- 2021
- Publisher :
- IOS Press, 2021.
-
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%.
- Subjects :
- 020205 medical informatics
business.industry
Computer science
General Engineering
02 engineering and technology
computer.software_genre
Computer Science Applications
Computational Mathematics
Semantic similarity
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
Question answering
Artificial intelligence
business
computer
Natural language processing
Subjects
Details
- ISSN :
- 18758983 and 14727978
- Volume :
- 21
- Database :
- OpenAIRE
- Journal :
- Journal of Computational Methods in Sciences and Engineering
- Accession number :
- edsair.doi...........1a9b1bfde408df581dcada6d298d5b25