INSNER: A generative instruction-based prompting method for boosting performance in few-shot NER

已完结 20 由浅笑发布于 2025/8/16 23:17:42

DOI:10.1016/j.ipm.2024.104040
作者：Peiwen Zhao ,?Chong Feng ,?Peiguang Li ,?Guanting Dong ,?Sirui Wang
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：Most existing Named Entity Recognition (NER) methods require a large scale of labeled data and exhibit poor performance in low-resource scenarios. Thus in this paper, we propose INSNER, a ge

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