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
  • [1] Learning approaches for natural language processing
    Wermter, S.
    Riloff, E.
    Scheler, G.
    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 1040
  • [2] Representation Learning for Natural Language Processing
    刘知远
    林衍凯
    孙茂松
    中文信息学报, 2021, (03) : 143 - 143
  • [3] Deep learning of the natural language processing
    Allauzen, Alexandre
    Schuetze, Hinrich
    TRAITEMENT AUTOMATIQUE DES LANGUES, 2018, 59 (02): : 7 - 14
  • [4] Deep Learning in Natural Language Processing
    Feng, Haoda
    Shi, Feng
    NATURAL LANGUAGE ENGINEERING, 2021, 27 (03) : 373 - 375
  • [5] STRUCTURE LEARNING FOR NATURAL LANGUAGE PROCESSING
    Ni, Yizhao
    Saunders, Craig J.
    Szedmak, Sandor
    Niranjan, Mahesan
    2009 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, 2009, : 315 - 320
  • [6] The emergent role of artificial intelligence, natural learning processing, and large language models in higher education and research
    Alqahtani, Tariq
    Badreldin, Hisham A.
    Alrashed, Mohammed
    Alshaya, Abdulrahman I.
    Alghamdi, Sahar S.
    bin Saleh, Khalid
    Alowais, Shuroug A.
    Alshaya, Omar A.
    Rahman, Ishrat
    Al Yami, Majed S.
    Albekairy, Abdulkareem M.
    RESEARCH IN SOCIAL & ADMINISTRATIVE PHARMACY, 2023, 19 (08): : 1236 - 1242
  • [7] Deep Learning for Natural Language Processing and Language Modelling
    Klosowski, Piotr
    2018 SIGNAL PROCESSING: ALGORITHMS, ARCHITECTURES, ARRANGEMENTS, AND APPLICATIONS (SPA), 2018, : 223 - 228
  • [8] Backdoor Learning of Language Models in Natural Language Processing
    University of Michigan
    1600,
  • [9] Deep Learning on Graphs for Natural Language Processing
    Wu, Lingfei
    Chen, Yu
    Ji, Heng
    Liu, Bang
    KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2021, : 4084 - 4085
  • [10] Natural Language Processing: A Machine Learning Perspective
    Ive, Julia
    COMPUTATIONAL LINGUISTICS, 2022, 48 (01) : 233 - 235
12345