A New Adapter Tuning of Large Language Model for Chinese Medical Named Entity Recognition

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2024-08-05 DOI:10.1080/08839514.2024.2385268

Lu Zhou, Yiheng Chen, Xinmin Li, Yanan Li, Ning Li, Xiting Wang, Rui Zhang

引用次数: 0

Abstract

Named entity recognition (NER) is a crucial step in extracting medical information from Chinese text, and fine-tuning large language models (LLMs) for this task is an effective approach. However, f...

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中医药命名实体识别大语言模型的新适配器调整

命名实体识别（NER）是从中文文本中提取医学信息的关键步骤，而微调大语言模型（LLM）是完成这一任务的有效方法。然而，微调大语言模型（LLMs）的...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.