One-shot Biomedical Named Entity Recognition via Knowledge-Inspired Large Language Model
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DOI:
文献链接: 10.1145/3698587.370135
其他信息:
J Bian, J Zheng, Y Zhang, H Zhou, S Zhu
Proceedings of the 15th ACM …, 2024
dl.acm.org
Large Language Models (LLMs) have demonstrated exceptional performance in numerous natural language processing tasks, particularly in generative tasks. Nevertheless, their performance in non-generative tasks, such as information extraction, especially within specialized domain-specific extraction tasks like Biomedical Named Entity Recognition (NER), has been less successful when applied in an unsupervised manner. To address this challenge, we draw inspiration from the chain-of-thought concept and adopt a two-step …
