| 基于预训练语言模型的公众健康问句分类 |
| 修订日期：2021-05-21 点此下载全文 |
| 引用本文：谢甲琦,李政.基于预训练语言模型的公众健康问句分类[J].医学信息学杂志,2021,42(12):33-36, 43 |
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| 中文摘要:以“公众健康问句分类”任务算法评测大赛参赛项目为例,阐述通过对开源标注数据进行训练提升模型对公众健康问句识别能力的方法,包括模型构建方法、数据描述与预处理、模型算法等,为相关研究提供参考。 |
| 中文关键词:公众健康 问句分类 深度学习 预训练语言模型 |
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| Classification of Public Health Questions Based on Pre-trained Language Model |
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| Abstract:Taking the competition event of “Classification of Public Health Questions” algorithm evaluation contest as an example, the paper presents a method to improve the model's ability to identify public health questions by training open-source annotated data, expounds the model construction method, data description and preprocessing, model algorithm and so on, and provides references for related study. |
| keywords:public health question classification deep learning pre-trained language model |
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