A machine learning approach to extracting spatial information from geological texts in Chinese-Reference-Cited by-同舟云学术

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A machine learning approach to extracting spatial information from geological texts in Chinese

Published:2022-06-15 Issue:11 Volume:36 Page:2169-2193
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Chu Deping¹^ORCID,Wan Bo²³^ORCID,Li Hong¹,Dong Shuai²,Fu Jinming²,Liu Yiyang¹,Huang Kuan⁴,Liu Hui⁴

Affiliation:

1. Faculty of Geography and Information Engineering, China University of Geosciences, Wuhan, China

2. School of Computer Science, China University of Geosciences, Wuhan, China

3. National Engineering Research Center of Geographic Information System, Wuhan, China

4. Wuhan Zondy Cyber, Wuhan, China

Funder

National Key Research and Development Program of China

Geological Survey Project

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2022.2087224

Reference78 articles.

1. Multiple features for clinical relation extraction: A machine learning approach

2. Relational duality

3. Extracting Patterns and Relations from the World Wide Web

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