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DiffusionSL: Sequence Labeling via Tag Diffusion Process (2023.findings-emnlp)

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Challenge: Sequence Labeling (SL) is a long-standing field of natural language processing.
Approach: They propose a framework that utilizes a conditional discrete diffusion model for generating discrete tag data.
Outcome: The proposed framework outperforms gpt-3.5-turbo on multiple benchmark datasets and tasks.

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