Renjian Zhai
Biographic Data
| ID | 9964673 |
|---|---|
| NAME | Renjian Zhai |
| GIVEN NAMES | Renjian |
| FAMILY NAME | Zhai |
| SIGNATURE | ZHAI R |
| AFFILIATIONS | PLA Information Engineering University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Csmner
In the era of information explosion, Chinese social media has become a repository for massive geographic information; however, its unique unstructured nature and diverse expressions are challenging to toponym entity recognition. To address this problem, we propose a Chinese social media named entity recognition (CSMNER) model to improve the accuracy and robustness of toponym recognition in Chinese social media texts. By combining the BERT (Bidire…
A Progressive Simplification Method for Buildings Based on Structural Subdivision
Building simplification is an important research area in automatic map generalization. Up to now, many approaches have been proposed by scholars. However, in the continuous transformation of scales for buildings, keeping the main shape characteristics, area, and orthogonality of buildings are always the key and difficult points. Therefore, this paper proposes a method of progressive simplification for buildings based on structural subdivision. In…
No prominent works on this page.
A Progressive Simplification Method for Buildings Based on Structural Subdivision
Building simplification is an important research area in automatic map generalization. Up to now, many approaches have been proposed by scholars. However, in the continuous transformation of scales for buildings, keeping the main shape characteristics, area, and orthogonality of buildings are always the key and difficult points. Therefore, this paper proposes a method of progressive simplification for buildings based on structural subdivision. In…
Csmner
In the era of information explosion, Chinese social media has become a repository for massive geographic information; however, its unique unstructured nature and diverse expressions are challenging to toponym entity recognition. To address this problem, we propose a Chinese social media named entity recognition (CSMNER) model to improve the accuracy and robustness of toponym recognition in Chinese social media texts. By combining the BERT (Bidire…
Computer Science (2 works) · Algorithm (1 work) · Authorship Attribution and Profiling (1 work) · Automated Road and Building Extraction (1 work) · Cartographic generalization (1 work) · Civil engineering (1 work) · Engineering (1 work) · Generalization (1 work) · Geographic Information Systems Studies (1 work) · Geometry (1 work)