Suppr超能文献

共指消解:综述临床领域的通用方法及应用。

Coreference resolution: a review of general methodologies and applications in the clinical domain.

机构信息

Children's Hospital Boston, Boston, MA 02115, United States.

出版信息

J Biomed Inform. 2011 Dec;44(6):1113-22. doi: 10.1016/j.jbi.2011.08.006. Epub 2011 Aug 12.

Abstract

Coreference resolution is the task of determining linguistic expressions that refer to the same real-world entity in natural language. Research on coreference resolution in the general English domain dates back to 1960s and 1970s. However, research on coreference resolution in the clinical free text has not seen major development. The recent US government initiatives that promote the use of electronic health records (EHRs) provide opportunities to mine patient notes as more and more health care institutions adopt EHR. Our goal was to review recent advances in general purpose coreference resolution to lay the foundation for methodologies in the clinical domain, facilitated by the availability of a shared lexical resource of gold standard coreference annotations, the Ontology Development and Information Extraction (ODIE) corpus.

摘要

指代消解是指确定自然语言中指向同一实体的语言表达式的任务。一般英语领域的指代消解研究可以追溯到 20 世纪 60 年代和 70 年代。然而,临床自由文本的指代消解研究并没有取得重大进展。最近美国政府提倡使用电子病历(EHR),为挖掘患者记录提供了机会,因为越来越多的医疗机构开始采用 EHR。我们的目标是回顾一般目的指代消解的最新进展,为临床领域的方法奠定基础,这得益于可用的共享词汇资源——黄金标准指代标注集 Ontology Development and Information Extraction (ODIE) 语料库。

相似文献

3
7
Minimalistic Approach to Coreference Resolution in Lithuanian Medical Records.立陶宛语病历中指代消解的极简方法。
Comput Math Methods Med. 2019 Mar 20;2019:9079840. doi: 10.1155/2019/9079840. eCollection 2019.
8
A supervised framework for resolving coreference in clinical records.一种用于解决临床记录中共指消解问题的有监督框架。
J Am Med Inform Assoc. 2012 Sep-Oct;19(5):875-82. doi: 10.1136/amiajnl-2012-000810. Epub 2012 May 19.

引用本文的文献

3
Antibody Watch: Text mining antibody specificity from the literature.抗体观察:从文献中挖掘抗体特异性的文本挖掘。
PLoS Comput Biol. 2021 May 27;17(5):e1008967. doi: 10.1371/journal.pcbi.1008967. eCollection 2021 May.
5
Broad-coverage biomedical relation extraction with SemRep.基于 SemRep 的广谱生物医学关系抽取。
BMC Bioinformatics. 2020 May 14;21(1):188. doi: 10.1186/s12859-020-3517-7.
7
9
Towards generalizable entity-centric clinical coreference resolution.迈向可泛化的以实体为中心的临床共指消解
J Biomed Inform. 2017 May;69:251-258. doi: 10.1016/j.jbi.2017.04.015. Epub 2017 Apr 21.

本文引用的文献

1
The Yale cTAKES extensions for document classification: architecture and application.耶鲁 CTakes 扩展用于文档分类:架构与应用。
J Am Med Inform Assoc. 2011 Sep-Oct;18(5):614-20. doi: 10.1136/amiajnl-2011-000093. Epub 2011 May 27.
2
Anaphoric relations in the clinical narrative: corpus creation.临床叙述中的回指关系:语料库创建。
J Am Med Inform Assoc. 2011 Jul-Aug;18(4):459-65. doi: 10.1136/amiajnl-2011-000108. Epub 2011 Apr 1.
9
Building a semantically annotated corpus of clinical texts.构建临床文本语义标注语料库。
J Biomed Inform. 2009 Oct;42(5):950-66. doi: 10.1016/j.jbi.2008.12.013. Epub 2009 Jan 23.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验