Analyzing the capability description of testing institution in Chinese phrase using a joint approach of semi-supervised K-Means clustering and BERT
Abstract The capability parameters of third-party testing institutions not only serve as a critical reflection of their technical and quality management capabilities but also form the key basis for categorizing their testing abilities. However, current Chinese phrase-based descriptions of these capa...
Saved in:
| Main Authors: | Gaoqing Xu, Qun Chen, Shuhang Jiang, Xiaohang Fu, Yiwei Wang, Qingchun Jiao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-92296-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
DynGraph-BERT: Combining BERT and GNN Using Dynamic Graphs for Inductive Semi-Supervised Text Classification
by: Eliton Luiz Scardin Perin, et al.
Published: (2025-02-01) -
DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection
by: Yunlong Qin, et al.
Published: (2025-01-01) -
Syntactic Phrases Analysis in Disney Wish Movie
by: Desi Kumala Sari Antonia, et al.
Published: (2025-06-01) -
Separated and Independent Contrastive Semi-Supervised Learning for Imbalanced Datasets
by: Dongyoung Kim, et al.
Published: (2025-01-01) -
An in-depth exploration of supervised and semi-supervised learning on face recognition
by: Purnawansyah, et al.
Published: (2025-06-01)