VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models

arXiv:2402.18374v1 Announce Type: new
Abstract: Recent approaches in domain-specific named entity recognition (NER), such as biomedical NER, have shown remarkable advances. However, they still lack of faithfulness, producing erroneous predictions. We assume that knowledge of entities can be useful in verifying the correctness of the predictions. Despite the usefulness of knowledge, resolving such errors with knowledge is nontrivial, since the knowledge itself does not directly indicate the ground-truth label. To this end, we propose VerifiNER, a post-hoc verification framework that …

abstract advances arxiv biomedical cs.cl domain knowledge language language models large language large language models ner predictions reasoning recognition type verification via