2024
When Generative Adversarial Networks Meet Sequence Labeling Challenges
EMNLP 2024main
The current framework for sequence labeling encompasses a feature extractor and a sequence tagger. This study introduces a unified framework named SLGAN, which harnesses the capabilities of Generative Adversarial Networks to address the challenges associated with Sequence Labeling tasks. SLGAN not o…