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
相关论文
共 50 条
  • [1] Medical Named Entity Recognition with Domain Knowledge
    Pei W.
    Sun S.
    Li X.
    Lu J.
    Yang L.
    Wu Y.
    Data Analysis and Knowledge Discovery, 2023, 7 (03) : 142 - 154
  • [2] Chinese Medical Named Entity Recognition Using External Knowledge
    Zhang, Lin
    Lai, Peichao
    Ye, Feiyang
    Fang, Ruixiong
    Wang, Ruiqing
    Li, Jiayong
    Wang, Yilei
    PRICAI 2022: TRENDS IN ARTIFICIAL INTELLIGENCE, PT II, 2022, 13630 : 359 - 371
  • [3] Named entity recognition in medical domain combined with knowledge graph
    Jin Z.
    He X.
    Yue S.
    Xiong Y.
    Luo J.
    Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2023, 55 (05): : 50 - 58
  • [4] Medical Named Entity Recognition Model Based on Knowledge Graph Enhancement
    Lu, Yonghe
    Zhao, Ruijie
    Wen, Xiuxian
    Tong, Xinyu
    Xiang, Dingcheng
    Zhang, Jinxia
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2024, 38 (04)
  • [5] Named Entity Recognition and Classification for Medical Prospectuses
    Chirila, Oana Sorina
    Chirila, Ciprian-Bogdan
    Stoicu-Tivadar, Lacramioara
    HEALTH INFORMATICS VISION: FROM DATA VIA INFORMATION TO KNOWLEDGE, 2019, 262 : 284 - 287
  • [6] ImNER Indonesian Medical Named Entity Recognition
    Suwarningsih, Wiwin
    Supriana, Iping
    Purwarianti, Ayu
    2014 2ND INTERNATIONAL CONFERENCE ON TECHNOLOGY, INFORMATICS, MANAGEMENT, ENGINEERING, AND ENVIRONMENT (TIME-E 2014), 2014, : 184 - 188
  • [7] Knowledge-based Named Entity Recognition in Polish
    Pohl, Aleksander
    2013 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (FEDCSIS), 2013, : 145 - 151
  • [8] Unsupervised Ranking of Knowledge Bases for Named Entity Recognition
    Mrabet, Yassine
    Kilicoglu, Halil
    Demner-Fushman, Dina
    ECAI 2016: 22ND EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, 285 : 1248 - 1255
  • [9] Ontology Attention Layer for Medical Named Entity Recognition
    Zha, Yue
    Ke, Yuanzhi
    Hu, Xiao
    Xiong, Caiquan
    APPLIED SCIENCES-BASEL, 2024, 14 (01):
  • [10] ViMedNER: A Medical Named Entity Recognition Dataset for Vietnamese
    Duong, Pham Van
    Trinh, Tien-Dat
    Nguyen, Minh-Tien
    Vu, Huy-The
    Pham, Minh-Chuan
    Tuan, Tran Manh
    Son, Le Hoang
    EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2024, 11 (04)