GeoBERTSegmenter: Word Segmentation of Chinese Texts in the Geoscience Domain Using the Improved BERT Model-Reference-Cited by-同舟云学术

GeoBERTSegmenter: Word Segmentation of Chinese Texts in the Geoscience Domain Using the Improved BERT Model

Published:2022-10 Issue:10 Volume:9 Page:
ISSN:2333-5084
Container-title:Earth and Space Science
language:en
Short-container-title:Earth and Space Science

Author:

Wei Dongqi¹²,Liu Zhihao²,Xu Dexin³,Ma Kai⁴⁵,Tao Liufeng⁶⁷^ORCID,Xie Zhong⁶⁷,Qiu Qinjun⁶⁷^ORCID,Pan Shengyong⁸

Affiliation:

1. Xi’an Center of Geological Survey CGS Xi’An China

2. National Engineering Research Center of Geographic Information System Wuhan China

3. Wuhan Geomatics Institute Wuhan China

4. Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering China Three Gorges University Yichang China

5. College of Computer and Information Technology China Three Gorges University Yichang China

6. School of Computer Science China University of Geosciences Wuhan China

7. Hubei Key Laboratory of Intelligent Geo‐Information Processing China University of Geosciences Wuhan China

8. Wuhan Zondy Cyber Science & Technology Co., Ltd Wuhan China

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022EA002511

Reference43 articles.

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2. Exploiting meta features for dependency parsing and part-of-speech tagging

3. Gated Recursive Neural Network for Chinese Word Segmentation

4. Chen X. Shi Z. Qiu X. &Huang X.(2017).Adversarial multi‐criteria learning for chinese word segmentation.

5. On the unsupervised analysis of domain-specific Chinese texts

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