Jiaxin Gan

Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations

Sequence labeling remains a significant challenge in low-resource, domain-specific scenarios, particularly for character-dense languages. Existing methods primarily focus on enhancing model comprehension and improving data diversity to boost performance. However, these approaches still struggle with