Papers with DiffusionNER

1 papers
DiffusionNER: Boundary Diffusion for Named Entity Recognition (2023.acl-long)

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Challenge: Named Entity Recognition (NER) tasks are fundamental to many structured information extraction tasks.
Approach: They propose a named entity recognition task that uses a boundary-denoising diffusion process to denoise noisy spans.
Outcome: The proposed method achieves comparable or even better performance than previous state-of-the-art models on flat and nested datasets.

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