Word segmentation of Chinese texts in the geoscience domain using the BERT model-Reference-Cited by-同舟云学术

Word segmentation of Chinese texts in the geoscience domain using the BERT model

Published:2022-04-19 Issue: Volume: Page:
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Author:

Wei Dongqi¹²³,Liu Zhihao⁴,Xu Dexin⁵,Ma Kai⁶,Tao Liufeng⁷^ORCID,Xie Zhong⁷,qiu qinjun⁷^ORCID,Pan Shengyong⁸

Affiliation:

1. National Engineering Research Center of Geographic Information System

2. China

3. Wuhan 430074

4. National Engineering Research Center of Geographic Information System, Wuhan 430074, China

5. Wuhan Geomatics Institute, Wuhan 430074, China

6. Unknown

7. China University of Geosciences

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

Publisher

Wiley

Reference44 articles.

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2. Chen Jingwen Chen Jianguo Wang Chengbin Zhu Yueqin. A study of geological and mineral text sub-word based on conditional random field[J]. China Mining magazine 2018 27(09):69-74+101.

3. Chen W. Zhang M. Zhang Y. J. I. T. o. A. Speech„ & Processing L. (2015). Distributed feature representations for dependency parsing. 23(3) 451-460.

4. Chen W. Zhang M. Zhang Y. & Duan X. J. A. I. (2016). Exploiting meta features for dependency parsing and part-of-speech tagging. 230 173-191.

5. Chen X. Qiu X. Chenxi Z. Liu P. & Huang X. (2015). Long Short-Term Memory Neural Networks for Chinese Word Segmentation.

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