Yunsong Li

REAF: Remembering Enhancement and Entropy-Based Asymptotic Forgetting for Filter Pruning

2023 · IEEE Transactions on Image Processing

Neurologically, filter pruning is a procedure of forgetting and remembering recovering. Prevailing methods directly forget less important information from an unrobust baseline at first and expect to minimize the performance sacrifice. However, unsaturated base remembering …

Segmentation-aware relational graph convolutional network with multi-layer CRF for nested named entity recognition

2024 · Complex & Intelligent Systems

Abstract Named Entity Recognition (NER) is fundamental in natural language processing, involving identifying entity spans and types within a sentence. Nested NER contains other entities, which pose a significant challenge, especially pronounced in the domain …