Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
HomonymSenseNet: A Context-Aware Transformer Framework with Dynamic Sense Memory and Adaptive Negative Sampling for Semantic Representation Learning
Saved in:
| Published in: | VFAST Transactions on Software Engineering |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: HomonymSenseNet: A Context-Aware Transformer Framework with Dynamic Sense Memory and Adaptive Negative Sampling for Semantic Representation Learning
- Aspect-centric vulnerability understanding via semantics-aware commit representation learning
- Three-Dimensional Line-of-Sight Estimation Based on RTACM-Net and Vision Transformer
- AG-HybridNet: An Attention-Guided Hybrid CNN-Transformer Network for 3D Gaze Estimation
- ContexGuard: A Modular, Context-Aware Adaptive Security Framework for Dynamic Edge Environments
- Research on Semantic Segmentation Algorithm Based on Lightweight DeepLabV3+ Network
- Lesion-Aware Graph-Augmented Deep Framework for Pancreatic Cancer Detection from CT