How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain

arXiv:2307.00186v2 Announce Type: replace
Abstract: 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 exceptional capabilities across a wide range of tasks, such as name entity recognition (NER) in the general domain. (We define SLMs as pre-trained models with fewer parameters compared to models like GPT-3/3.5/4, such as T5, BERT, and others.) Nevertheless, their efficacy in the medical section remains …

abstract arxiv capabilities cs.cl domain emergence few-shot gpt gpt-4 language language model language models lms medical recognition small tasks type