Research on Engineering Management Question-answering System in the Communication Industry Based on Large Language Models and Knowledge Graphs-Reference-Cited by-同舟云学术

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Research on Engineering Management Question-answering System in the Communication Industry Based on Large Language Models and Knowledge Graphs

Published:2024-03-12 Issue: Volume:31 Page:100-105
ISSN:
Container-title:Proceedings of the 2024 7th International Conference on Machine Vision and Applications
language:
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Author:

Jiang Yingdi¹^ORCID,Yao Jiarui¹^ORCID,Li Fangfei¹^ORCID,Zhang Yan¹^ORCID

Affiliation:

1. China Telecom Corporation Limited Beijing Branch, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3653946.3653961

Reference18 articles.

1. Sanjay, K., Dwivedi, Vaishali, Singh. 2014. Question answering: a survey of research, techniques and issues. International journal of information retrieval research, 4(3), 14-33.

2. Knowledge Graph Identification

3. Exploiting Linked Data and Knowledge Graphs in Large Organisations

4. . Overview of Knowledge Graph Question Answering;Zheng Yongzhi;Journal of Computer Systems and Applications,2022

5. Lee T.B Hendler J Lassila O. 2001. The Semantic Web. Scientific American.

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