生物医学命名实体识别研究现状及中文生物医学命名实体识别难点与意义综述 |
投稿时间:2017-11-10 点此下载全文 |
引用本文:潘璀然,施维,薛均,等.生物医学命名实体识别研究现状及中文生物医学命名实体识别难点与意义综述[J].医学信息学杂志,2018,39(3):53-59 |
摘要点击次数: |
全文下载次数: |
|
基金项目:江苏省研究生科研与实践创新计划项目(项目编号:KYCX17-1932);国家自然科学基金资助项目(项目编号:81501559、81701793)。 |
|
中文摘要:介绍国内外生物医学命名实体识别的研究现状,详细阐述生物医学命名实体识别的技术方法,包括基于词典和规则的方法、基于机器学习的方法、混合方法和神经网络方法以及相关测评组织和标准,总结中文生物医学命名实体识别难点和意义。 |
中文关键词:中文 生物医学 命名实体识别 |
|
Study Status of Biomedical Named Entity Recognition as Well as Difficulties and Significance of Chinese Biomedical Named Entity Recognition |
|
|
Abstract:The paper introduces the study situation of biomedical named entity recognites in and outside of China, elaborating on the technical method of biomedical named entity recognition, including method based on dictionaries and rules, method based on machine learning, mixed method, neural network method and related evaluation organizations and criterion, and summarizes the difficulties and significance of Chinese biomedical named entity recognition. |
keywords:Chinese Biomedicine Named entity recognition |
查看全文 查看/发表评论 下载PDF阅读器 |