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
  • [11] Feature Importance for Biomedical Named Entity Recognition
    Huggard, Hamish
    Zhang, Aaron
    Zhang, Edmond
    Koh, Yun Sing
    AI 2019: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, 11919 : 406 - 417
  • [12] A comparative study for biomedical named entity recognition
    Wang, Xu
    Yang, Chen
    Guan, Renchu
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2018, 9 (03) : 373 - 382
  • [13] Biomedical Named Entity Recognition with Less Supervision
    Ghiasvand, Omid
    Kate, Rohit J.
    2015 IEEE INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI 2015), 2015, : 495 - 495
  • [14] Named Entity Recognition System for the Biomedical Domain
    Sharma, Raghav
    Chauhan, Deependra
    Sharma, Raksha
    PROCEEDINGS OF THE 2022 17TH CONFERENCE ON COMPUTER SCIENCE AND INTELLIGENCE SYSTEMS (FEDCSIS), 2022, : 837 - 840
  • [15] Named Entity Recognition for Code Review Comments
    Kachanov, V. V.
    Khitrova, A. S.
    Markov, S. I.
    PROGRAMMING AND COMPUTER SOFTWARE, 2024, 50 (07) : 511 - 523
  • [16] MMBERT: a unified framework for biomedical named entity recognition
    Lei Fu
    Zuquan Weng
    Jiheng Zhang
    Haihe Xie
    Yiqing Cao
    Medical & Biological Engineering & Computing, 2024, 62 : 327 - 341
  • [17] Study of Named Entity Recognition methods in biomedical field
    Sniegula, Anna
    Poniszewska-Maranda, Aneta
    Chomatek, Lukasz
    10TH INT CONF ON EMERGING UBIQUITOUS SYST AND PERVAS NETWORKS (EUSPN-2019) / THE 9TH INT CONF ON CURRENT AND FUTURE TRENDS OF INFORMAT AND COMMUN TECHNOLOGIES IN HEALTHCARE (ICTH-2019) / AFFILIATED WORKOPS, 2019, 160 : 260 - 265
  • [18] Comparison of named entity recognition methodologies in biomedical documents
    Song, Hye-Jeong
    Jo, Byeong-Cheol
    Park, Chan-Young
    Kim, Jong-Dae
    Kim, Yu-Seop
    BIOMEDICAL ENGINEERING ONLINE, 2018, 17
  • [19] Towards the Named Entity Recognition Methods in Biomedical Field
    Sniegula, Anna
    Poniszewska-Maranda, Aneta
    Chomatek, Lukasz
    SOFSEM 2020: THEORY AND PRACTICE OF COMPUTER SCIENCE, 2020, 12011 : 375 - 387
  • [20] Various criteria in the evaluation of biomedical named entity recognition
    Tsai, RTH
    Wu, SH
    Chou, WC
    Lin, YC
    He, D
    Hsiang, J
    Sung, TY
    Hsu, WL
    BMC BIOINFORMATICS, 2006, 7 (1) : 1 - 8