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LTNER: Large Language Model Tagging for Named Entity Recognition with Contextualized Entity Marking
April 9, 2024, 4:51 a.m. | Faren Yan, Peng Yu, Xin Chen
cs.CL updates on arXiv.org arxiv.org
Abstract: The use of LLMs for natural language processing has become a popular trend in the past two years, driven by their formidable capacity for context comprehension and learning, which has inspired a wave of research from academics and industry professionals. However, for certain NLP tasks, such as NER, the performance of LLMs still falls short when compared to supervised learning methods. In our research, we developed a NER processing framework called LTNER that incorporates a …
abstract academics arxiv become capacity context cs.ai cs.cl however industry language language model language processing large language large language model llms natural natural language natural language processing popular processing professionals recognition research tagging trend type
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