Biomedical Named Entity Recognition in Eight Languages with Zero Code Changes

被引：0
|
作者：
Kocaman, Veysel [1 ]
Pirge, Gursev [1 ]
Polat, Bunyamin [1 ]
Talby, David [1 ]
机构：
[1] John Snow Labs Inc., 16192 Coastal Highway, Lewes,DE,19958, United States
来源：
CEUR Workshop Proceedings | 2022年 / 3202卷
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Bioinformatics - Cluster computing - Codes (symbols) - Deep learning - High level languages
引用
收藏
相关论文
共 50 条
  • [21] Various criteria in the evaluation of biomedical named entity recognition
    Richard Tzong-Han Tsai
    Shih-Hung Wu
    Wen-Chi Chou
    Yu-Chun Lin
    Ding He
    Jieh Hsiang
    Ting-Yi Sung
    Wen-Lian Hsu
    BMC Bioinformatics, 7
  • [22] Improving biomedical named entity recognition with syntactic information
    Yuanhe Tian
    Wang Shen
    Yan Song
    Fei Xia
    Min He
    Kenli Li
    BMC Bioinformatics, 21
  • [23] Multiobjective Optimization for Biomedical Named Entity Recognition and Classification
    Ekbal, Asif
    Saha, Sriparna
    Sikdar, Utpal Kumar
    2ND INTERNATIONAL CONFERENCE ON COMMUNICATION, COMPUTING & SECURITY [ICCCS-2012], 2012, 1 : 206 - 213
  • [24] Classifier subset selection for biomedical named entity recognition
    Dimililer, Nazife
    Varoglu, Ekrem
    Altincay, Hakan
    APPLIED INTELLIGENCE, 2009, 31 (03) : 267 - 282
  • [25] MMBERT: a unified framework for biomedical named entity recognition
    Fu, Lei
    Weng, Zuquan
    Zhang, Jiheng
    Xie, Haihe
    Cao, Yiqing
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2024, 62 (01) : 327 - 341
  • [26] Accurate Clinical and Biomedical Named Entity Recognition at Scale
    Kocaman, Veysel
    Talby, David
    SOFTWARE IMPACTS, 2022, 13
  • [27] Comparison of named entity recognition methodologies in biomedical documents
    Hye-Jeong Song
    Byeong-Cheol Jo
    Chan-Young Park
    Jong-Dae Kim
    Yu-Seop Kim
    BioMedical Engineering OnLine, 17
  • [28] Classifier subset selection for biomedical named entity recognition
    Nazife Dimililer
    Ekrem Varoğlu
    Hakan Altınçay
    Applied Intelligence, 2009, 31 : 267 - 282
  • [29] Towards reliable named entity recognition in the biomedical domain
    Giorgi, John M.
    Bader, Gary D.
    BIOINFORMATICS, 2020, 36 (01) : 280 - 286
  • [30] Improving biomedical named entity recognition with syntactic information
    Tian, Yuanhe
    Shen, Wang
    Song, Yan
    Xia, Fei
    He, Min
    Li, Kenli
    BMC BIOINFORMATICS, 2020, 21 (01)
12345