GPT-NER: Named Entity Recognition via Large Language Models
Shuhe Wang, Xiaofei Sun, Xiaoya Li, Rongbin Ouyang, Fei Wu, Tianwei Zhang, Jiwei Li, Guoyin Wang, Guo Chen
Abstract
Despite the fact that large-scale Language Models (LLM) have achieved SOTA performances on a variety of NLP tasks, its performance on NER is still significantly below supervised baselines.This is due to the gap between the two tasks the NER and LLMs: the former is a sequence labeling task in nature while the latter is a text-generation model.
Topics & Concepts
Named-entity recognitionComputer scienceNatural language processingEntity linkingArtificial intelligenceNamed entityTask (project management)EngineeringSystems engineeringKnowledge baseTopic ModelingNatural Language Processing TechniquesData Quality and Management