CHIP2020评测任务1概述:中文医学文本命名实体识别

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中文信息学报 ›› 2022, Vol. 36 ›› Issue (4) : 66-72.

信息抽取与文本挖掘

CHIP2020评测任务1概述:中文医学文本命名实体识别

李雯昕^1,4,张坤丽^1,4,关同峰^1,4,张欢^2,4,朱田恬³,常宝宝^2,4,陈清财^3,4

作者信息 +

Overview of CHIP2020 Shared Task 1: Named Entity Recognition in Chinese Medical Text

LI Wenxin^1,4, ZHANG Kunli^1,4, GUAN Tongfeng^1,4, ZHANG Huan^2,4,
ZHU Tiantian³, CHANG Baobao^2,4, CHEN Qingcai^3,4

Author information +

History +

摘要

第六届中国健康信息处理会议(China Conference on Health Information Processing,CHIP2020)组织了中文医疗信息处理方面的6个评测任务,其中任务1为中文医学文本命名实体识别任务,该任务的主要目标是自动识别医学文本中的医学命名实体。共有253支队伍报名参加评测,最终37支队伍提交了80组结果,该评测以微平均F₁值作为最终评估标准,提交结果中最高值达68.35%。

Abstract

The 6th China Conference on Health Information Processing (CHIP2020) organized six evaluation tasks in Chinese medical information processing, among which task 1 was named entity recognition task of Chinese medical text. The main purpose of this task is to automatically identify medical named entities in medical texts. A total of 253 teams signed up for the evaluation, and 37 teams finally submitted 80 sets of results. The micro-average F₁ is used as the final evaluation criteria, and the highest value of the submitted results reached 68.35%.

导出引用

李雯昕,张坤丽,关同峰,张欢,朱田恬,常宝宝,陈清财. CHIP2020评测任务1概述:中文医学文本命名实体识别. 中文信息学报. 2022, 36(4): 66-72

LI Wenxin, ZHANG Kunli, GUAN Tongfeng, ZHANG Huan,
ZHU Tiantian, CHANG Baobao, CHEN Qingcai. Overview of CHIP2020 Shared Task 1: Named Entity Recognition in Chinese Medical Text. Journal of Chinese Information Processing. 2022, 36(4): 66-72

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基金

河南省医学科技攻关计划省部共建项目(SB201901021);郑州市协同创新重大专项科技攻关项目(20XTZX1120);河南省高等学校重点科研项目(20A520038)

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2021-05-18	2022-06-10
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