Improving biomedical named entity recognition with syntactic information

被引：0
|
作者：
Yuanhe Tian
Wang Shen
Yan Song
Fei Xia
Min He
Kenli Li
机构：
[1] University of Washington,
[2] Hunan University,undefined
[3] The Chinese University of Hong Kong,undefined
[4] Shenzhen Research Institute of Big Data,undefined
来源：
BMC Bioinformatics | / 21卷
关键词：
Named entity recognition; Text mining; Key-value memory networks; Syntactic information; Neural networks;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] 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
  • [42] Classifier subset selection for biomedical named entity recognition
    Dimililer, Nazife
    Varoglu, Ekrem
    Altincay, Hakan
    APPLIED INTELLIGENCE, 2009, 31 (03) : 267 - 282
  • [43] Improving Named Entity Recognition with Prosodic Features
    Katerenchuk, Denys
    Rosenberg, Andrew
    15TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2014), VOLS 1-4, 2014, : 293 - 297
  • [44] 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
  • [45] Accurate Clinical and Biomedical Named Entity Recognition at Scale
    Kocaman, Veysel
    Talby, David
    SOFTWARE IMPACTS, 2022, 13
  • [46] 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
  • [47] Classifier subset selection for biomedical named entity recognition
    Nazife Dimililer
    Ekrem Varoğlu
    Hakan Altınçay
    Applied Intelligence, 2009, 31 : 267 - 282
  • [48] Towards reliable named entity recognition in the biomedical domain
    Giorgi, John M.
    Bader, Gary D.
    BIOINFORMATICS, 2020, 36 (01) : 280 - 286
  • [49] Negation-based transfer learning for improving biomedical Named Entity Recognition and Relation Extraction
    Fabregat, Hermenegildo
    Duque, Andres
    Martinez-Romo, Juan
    Araujo, Lourdes
    JOURNAL OF BIOMEDICAL INFORMATICS, 2023, 138
  • [50] Improving the recall of biomedical named entity recognition with label re-correction and knowledge distillation
    Huiwei Zhou
    Zhe Liu
    Chengkun Lang
    Yibin Xu
    Yingyu Lin
    Junjie Hou
    BMC Bioinformatics, 22
12345