Papers by Yanggeng Fu
PCBERT: Parent and Child BERT for Chinese Few-shot NER (2022.coling-1)
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| Challenge: | Existing approaches to improve model performance on few-shot or zero-shot datasets are not effective for Chinese few- shot NER. |
| Approach: | They propose a prompt-based Parent and Child BERT for Chinese few-shot NER to train an annotating model on high-resource datasets and then discover more implicit labels on low-resourced datasets. |
| Outcome: | The proposed model can be used on Weibo and other Chinese NER datasets and it is shown to be effective in few-shot learning. |