Retrieval-Augmented Generation-based Relation Extraction

arXiv:2404.13397v1 Announce Type: new
Abstract: Information Extraction (IE) is a transformative process that converts unstructured text data into a structured format by employing entity and relation extraction (RE) methodologies. The identification of the relation between a pair of entities plays a crucial role within this framework. Despite the existence of various techniques for relation extraction, their efficacy heavily relies on access to labeled data and substantial computational resources. In addressing these challenges, Large Language Models (LLMs) emerge as promising solutions; …

abstract arxiv cs.ai cs.cl data extraction format framework identification information information extraction process retrieval retrieval-augmented role text type unstructured