Natural Language Understanding: Methodological Conceptualization

被引:4
|
作者
Shymko, Vitalii [1 ]
机构
[1] Pereiaslav Khmelnytskyi Hryhorii Skovoroda State, 30 Sukhomlynskyi Str, UA-08401 Pereiaslav Khmelnytskyi, Kyiv Reg, Ukraine
来源
PSYCHOLINGUISTICS | 2019年 / 25卷 / 01期
关键词
computational psycholinguistics; natural language understanding; structural ontology; information metabolism; language consciousness; verbal intelligence; artificial intelligence; mind; COMPUTATIONAL PRINCIPLES; FUNCTIONAL DEFINITION; PURSUIT; MEMORY; MIND;
D O I
10.31470/2309-1797-2019-25-1-431-443
中图分类号
H0 [语言学];
学科分类号
030303 ; 0501 ; 050102 ;
摘要
This article contains the results of a theoretical analysis of the phenomenon of natural language understanding (NLU), as a methodological problem. The combination of structural-ontological and informational-psychological approaches provided an opportunity to describe the subject matter field of NLU, as a composite function of the mind, which systemically combines the verbal and discursive structural layers. In particular, the idea of NLU is presented, on the one hand, as the relation between the discourse of a specific speech message and the meta-discourse of a language, in turn, activated by the need-motivational factors. On the other hand, it is conceptualized as a process with a specific structure of information metabolism, the study of which implies the necessity to differentiate the affective (emotional) and need-motivational influences on the NLU, as well as to take into account their interaction. At the same time, the hypothesis about the influence of needs on NLU under the scenario similar to the pattern of Yerkes-Dodson is argued. And the theoretical conclusion that emotions fulfill the function of the operator of the structural features of the information metabolism of NLU is substantiated. Thus, depending on the modality of emotions in the process of NLU, it was proposed to distinguish two scenarios for the implementation of information metabolism - reduction and synthetic. The argument in favor of the conclusion about the productive and constitutive role of emotions in the process of NLU is also given.
引用
收藏
页码:431 / 443
页数:13
相关论文
共 50 条
  • [41] Shortcut Learning of Large Language Models in Natural Language Understanding
    Du, Mengnan
    He, Fengxiang
    Zou, Na
    Tao, Dacheng
    Hu, Xia
    COMMUNICATIONS OF THE ACM, 2024, 67 (01) : 110 - 120
  • [42] Language and conceptualization.
    Yaeger-Dror, M
    LANGUAGE IN SOCIETY, 1999, 28 (03) : 443 - 446
  • [43] LANGUAGE AND CONCEPTUALIZATION OF MEANING
    COULTER, J
    SOCIOLOGY-THE JOURNAL OF THE BRITISH SOCIOLOGICAL ASSOCIATION, 1973, 7 (02): : 173 - 189
  • [44] A task oriented natural language understanding model
    Zeng, YM
    Wang, YC
    Wu, FF
    ADVANCES IN MULTIMODAL INTERFACES - ICMI 2000, PROCEEDINGS, 2000, 1948 : 260 - 266
  • [45] BasqueGLUE: A Natural Language Understanding Benchmark for Basque
    Urbizu, Gorka
    San Vicente, Inaki
    Saralegi, Xabier
    Agerri, Rodrigo
    Soroa, Aitor
    LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2022, : 1603 - 1612
  • [46] Application of Bayesian Framework in Natural Language Understanding
    Goyal, Pawan
    Behera, Laxmidhar
    McGinnity, T. M.
    IETE TECHNICAL REVIEW, 2008, 25 (05) : 251 - 269
  • [47] Natural Language Understanding for Soft Information Fusion
    Shapiro, Stuart C.
    Schlegel, Daniel R.
    2013 16TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2013, : 380 - 388
  • [48] NATURAL-LANGUAGE UNDERSTANDING AND LOGIC PROGRAMMING
    SAINTDIZIER, P
    AI MAGAZINE, 1988, 9 (01) : 119 - 120
  • [49] Tutorial: Automated deduction and natural language understanding
    Pulman, S
    AUTOMATED DEDUCTION - CADE-17, 2000, 1831 : 509 - 510
  • [50] TinyBERT: Distilling BERT for Natural Language Understanding
    Jiao, Xiaoqi
    Yin, Yichun
    Shang, Lifeng
    Jiang, Xin
    Chen, Xiao
    Li, Linlin
    Wang, Fang
    Liu, Qun
    FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EMNLP 2020, 2020, : 4163 - 4174