Emerging Named Entity Recognition in a Medical Knowledge Management Ecosystem

被引:2
|
作者
Nawroth, Christian [1 ]
Engel, Felix [1 ]
Hemmje, Matthias [2 ]
机构
[1] Fernuniv, Lehrgebiet Multimedia & Internetanwendungen, Hagen, Germany
[2] FTK, Res Inst Communciat & Cooperat, Dortmund, Germany
来源
PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT (KEOD), VOL 2 | 2020年
关键词
Emerging Named Entity Recognition; Medical Knowledge Management Ecosystem; Natural Language Processing; Machine Learning;
D O I
10.5220/0010061200290041
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we present a knowledge engineering project in the medical domain. The objective of the project is to identify recent medical knowledge represented by emerging Named Entities. Hence, we introduce the concept of emerging Named Entities and present our studies on their occurrence and use in medical document corpora. We derive an approach for the emerging Named Entity Recognition utilizing textual and temporal features through Natural Language Processing and Machine Learning and present detailed evaluation results. Furthermore, we present a complementary system design that utilizes emerging Named Entity Recognition support several KE use cases in the medical domain.
引用
收藏
页码:29 / 41
页数:13
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