Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction

arXiv:2404.17809v1 Announce Type: new
Abstract: Relation extraction (RE) aims to identify relations between entities mentioned in texts. Although large language models (LLMs) have demonstrated impressive in-context learning (ICL) abilities in various tasks, they still suffer from poor performances compared to most supervised fine-tuned RE methods. Utilizing ICL for RE with LLMs encounters two challenges: (1) retrieving good demonstrations from training examples, and (2) enabling LLMs exhibit strong ICL abilities in RE. On the one hand, retrieving good demonstrations is a …

abstract arxiv context cs.ai cs.cl extraction identify in-context learning language language models large language large language models llms performances reason recall relations tasks type