中文医疗信息处理评测基准CBLUE

中文医疗信息处理挑战榜CBLUE(Chinese Biomedical Language Understanding Evaluation)是中国中文信息学会医疗健康与生物信息处理专业委员会在合法开放共享的理念下发起，由阿里云天池平台承办，并由医渡云（北京）技术有限公司、腾讯天衍实验室、平安医疗科技、阿里夸克、北京大学、郑州大学、鹏城实验室、哈尔滨工业大学(深圳）、同济大学、中山大学、复旦大学、华东师范大学等开展智慧医疗研究的单位共同协办，旨在推动中文医学NLP技术和社区的发展。
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官网地址： https://tianchi.aliyun.com/cblue
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论文： https://arxiv.org/pdf/2106.08087.pdf
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Github: https://github.com/CBLUEbenchmark/CBLUE

The Chinese Biomedical Language Understanding Evaluation (CBLUE) benchmark is initiated under the concept of lawful open access and sharing by the Professional Committee on Medical Health and Bioinformatics Processing of the Chinese Information Processing Society of China (CIPSC). It is hosted by the Tianchi Platform of Alibaba Cloud, and co-organized by multiple smart healthcare research institutions including Yidu Cloud (Beijing) Technology Co., Ltd., Tencent Tianyan Lab, Ping An Medical Technology, Ali Quark, Peking University, Zhengzhou University, Peng Cheng Laboratory, Harbin Institute of Technology (Shenzhen), Tongji University, Sun Yat-sen University, Fudan University, East China Normal University, and others. The benchmark aims to promote the development of Chinese medical natural language processing (NLP) technology and its community.
Official Website: https://tianchi.aliyun.com/cblue
Paper: https://arxiv.org/pdf/2106.08087.pdf
Github: https://github.com/CBLUEbenchmark/CBLUE

搜集汇总

背景与挑战

背景概述

中文医疗信息处理评测基准CBLUE是一个综合性中文医学NLP评测基准，由中国中文信息学会医疗健康与生物信息处理专业委员会发起，旨在推动中文医学NLP技术和社区发展。该基准覆盖医学文本信息抽取、医学术语标准化、医学文本分类、医学句子语义关系判定、医学文本理解与生成等五大类任务，包含18个子任务（如命名实体识别、关系抽取、对话生成等），数据集来源多样，包括真实医疗文本、医患对话和学术评测数据，遵循CC BY-NC-SA 4.0协议，为研究人员提供了全面的中文医学语言理解评估平台。