154 citations · 359 across the 22 of their papers we have counts for
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cs.CL2023★ 6 cited
How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain
Mingchen Li, Rui Zhang
Recent advancements in language models (LMs) have led to the emergence of powerful models such as Small LMs (e.g., T5) and Large LMs (e.g., GPT-4). These models have demonstrated e…
cs.CL2023★ 1 cited
W-procer: Weighted Prototypical Contrastive Learning for Medical Few-Shot Named Entity Recognition
Mingchen Li, Yang Ye, Jeremy Yeung +3
Contrastive learning has become a popular solution for few-shot Name Entity Recognization (NER). The conventional configuration strives to reduce the distance between tokens with t…