Satellite and instrument entity recognition using a pre-trained language model with distant supervision-Reference-Cited by-同舟云学术

Satellite and instrument entity recognition using a pre-trained language model with distant supervision

Published:2022-08-08 Issue:1 Volume:15 Page:1290-1304
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Lin Ming¹,Jin Meng¹,Liu Yufu¹,Bai Yuqi¹

Affiliation:

1. Department of Earth System Science, Institute for Global Change Studies, Ministry of Education Ecological Field Station for East Asian Migratory Birds, Tsinghua University, Beijing, People’s Republic of China

Funder

National Key Research and Development Program of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2022.2107098

Reference35 articles.

1. Big earth data for achieving the sustainable development goals in the belt and road region

2. Exploring the depths of the global earth observation system of systems

3. A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers

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