Emergent learning and natural language processing

被引：0
|
作者：
Ma, Q [1 ]
Lu, BL [1 ]
机构：
[1] Commun Res Labs, Kyoto 6190289, Japan
来源：
8TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING, VOLS 1-3, PROCEEDING | 2001年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes how emergent learning can be applied to practical natural language processing: part of speech tagging, error detection of annotated corpus, and self-organization of semantic maps.
引用
收藏
页码：659 / 664
页数：6
相关论文
共 50 条
  • [31] Low-shot Learning in Natural Language Processing
    Xia, Congying
    Zhang, Chenwei
    Zhang, Jiawei
    Liang, Tingting
    Peng, Hao
    Yu, Philip S.
    2020 IEEE SECOND INTERNATIONAL CONFERENCE ON COGNITIVE MACHINE INTELLIGENCE (COGMI 2020), 2020, : 185 - 189
  • [32] Machine learning for natural language processing (and vice versa?)
    Cardie, C
    MACHINE LEARNING: ECML 2005, PROCEEDINGS, 2005, 3720 : 2 - 2
  • [33] Special Issue on Machine Learning and Natural Language Processing
    Mozgovoy, Maxim
    Montero, Calkin Suero
    APPLIED SCIENCES-BASEL, 2022, 12 (17):
  • [34] Special issue on deep learning for natural language processing
    Wei Wei
    Jinsong Wu
    Chunsheng Zhu
    Computing, 2020, 102 : 601 - 603
  • [35] Quantum machine learning for natural language processing application
    Pandey, Shyambabu
    Basisth, Nihar Jyoti
    Sachan, Tushar
    Kumari, Neha
    Pakray, Partha
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2023, 627
  • [36] Meta Learning and Its Applications to Natural Language Processing
    Lee, Hung-yi
    Ngoc Thang Vu
    Li, Shang-Wen
    ACL-IJCNLP 2021: THE 59TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 11TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING: TUTORIAL ABSTRACTS, 2021, : 15 - 20
  • [37] Tutorial: Machine learning methods in natural language processing
    Collins, M
    LEARNING THEORY AND KERNEL MACHINES, 2003, 2777 : 655 - 655
  • [38] Are Deep Learning Approaches Suitable for Natural Language Processing?
    Alshahrani, S.
    Kapetanios, E.
    NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, NLDB 2016, 2016, 9612 : 343 - 349
  • [39] A Deep Learning Architecture for Psychometric Natural Language Processing
    Ahmad, Faizan
    Abbasi, Ahmed
    Li, Jingjing
    Dobolyi, David G.
    Netemeyer, Richard G.
    Clifford, Gari D.
    Chen, Hsinchun
    ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2020, 38 (01)
  • [40] Inflectional Review of Deep Learning on Natural Language Processing
    Fahad, S. K. Ahammad
    Yahya, Abdulsamad Ebrahim
    2018 INTERNATIONAL CONFERENCE ON SMART COMPUTING AND ELECTRONIC ENTERPRISE (ICSCEE), 2018,
12345