P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models

arXiv:2405.04960v1 Announce Type: new
Abstract: In recent years, the rise of large language models (LLMs) has made it possible to directly achieve named entity recognition (NER) without any demonstration samples or only using a few samples through in-context learning (ICL). However, standard ICL only helps LLMs understand task instructions, format and input-label mapping, but neglects the particularity of the NER task itself. In this paper, we propose a new prompting framework P-ICL to better achieve NER with LLMs, in which …

abstract arxiv context context learning cs.cl however in-context learning language language models large language large language models llms ner recognition samples standard through type