A deep neural network model for Chinese toponym matching with geographic pre-training model-Reference-Cited by-同舟云学术

A deep neural network model for Chinese toponym matching with geographic pre-training model

Published:2024-05-13 Issue:1 Volume:17 Page:
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Qiu Qinjun¹²³⁴^ORCID,Zheng Shiyu²,Tian Miao¹,Li Jiali²,Ma Kai³^ORCID,Tao Liufeng²⁴^ORCID,Xie Zhong²⁴

Affiliation:

1. Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences, Wuhan, People’s Republic of China

2. School of Computer Science, China University of Geosciences, Wuhan, People’s Republic of China

3. Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, People’s Republic of China

4. Ministry of Nature Resources Key Laboratory of Quantitative Resources Assessment and Information Technology, Wuhan, People’s Republic of China

Funder

National Key R&D Program of China

Natural Science Foundation of China

the Open Fund of Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering

the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2353111

Reference61 articles.

2. Pattern matching with address errors: Rearrangement distances

3. Random Search for Hyper-Parameter Optimization;Bergstra J.;Journal of Machine Learning Research,2012

4. Berkhin, P., M. R. Evans, F. Teodorescu, W. Wu, and D. Yankov. 2015. “A New Approach to Geocoding: BingGC.” In Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, edited by Mohamed Ali Yan Huang, 1–10. New York: Association for Computing Machinery.

5. Buckles, B., J. Buckley, and F. E. Petry. 1994. “Architecture of FAME: Fuzzy Address Matching Environment.” In Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference, edited by Nicole McFarlane, 308–312. Orlando, FL, USA: IEEE.