Document similarity detection based on multi-feature semantic fusion and concept graph-Reference-Cited by-同舟云学术

Document similarity detection based on multi-feature semantic fusion and concept graph

Published:2022-05-27 Issue: Volume: Page:
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Container-title:2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information (ICETCI)
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Author:

Xiang Xing¹,Zhong Zhiyuan²,Chen Yibo¹,Zhang Zuping²

Affiliation:

1. Information and Communication Branch of State Grid Hunan Electric Power Company Limited,Changsha,Hunan,China

2. School of Computer Science and Engineering Central South University,Changsha,Hunan,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

Reference14 articles.

2. Efficient estimation of word representations in vector space;mikolov;ArXiv Preprint,2013

3. Distributed representations of sentences and documents;le;Int Conference on Machine Learning,0

5. Exploiting similarities among languages for machine translation;mikolov;ArXiv Preprint,2013

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