QUESTION-ANSWERING STRATEGIES AND CONCEPTUAL KNOWLEDGE

被引:4
|
作者
SINGER, M
机构
[1] Department of Psychology, University of Manitoba, Winnipeg, Manitoba
关键词
D O I
10.3758/BF03335218
中图分类号
B841 [心理学研究方法];
学科分类号
040201 ;
摘要
To test the proposal that question-answering strategy is independent of the type of searched representation, an experiment was designed to demonstrate the application of two strategies, direct retrieval and plausibility judgment, to the same representation. Subjects judged whether or not concept pairs belonged to the same category. The distractor (“no”) items presented either similar (e.g., wren bee) or dissimilar (e.g., wren pea) concept pairs. Dissimilar different distractors should favor the plausibility strategy and result in relatively fast responses; whereas similar different distractors should require direct retrieval. The selected strategy was predicted to be extended to the same pairs, which were identical in the two conditions. Consistent with this analysis, “same” responses were faster in the dissimilar- different condition. Because all answers were based on conceptual knowledge, this outcome supports the proposal that answering strategy is independent of type of searched representation. © 1991, The Psychonomic Society, Inc.. All rights reserved.
引用
下载
收藏
页码:143 / 146
页数:4
相关论文
共 50 条
  • [1] QUESTION-ANSWERING STRATEGIES FOR CHILDREN
    RAPHAEL, TE
    READING TEACHER, 1982, 36 (02): : 186 - 190
  • [2] Question-answering systems in knowledge management
    Moldovan, D
    IEEE INTELLIGENT SYSTEMS, 2001, 16 (06) : 90 - 92
  • [3] Information selection strategies in question-answering tasks
    Cerdan, Raquel
    Gilabert, Ramiro
    Vidal-Abarca, Eduardo
    INFANCIA Y APRENDIZAJE, 2010, 33 (04): : 449 - 460
  • [4] Knowledge trees and protoforms in question-answering systems
    Yager, RR
    JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2006, 57 (04): : 550 - 563
  • [5] Legal Knowledge Extraction for Knowledge Graph Based Question-Answering
    Sovrano, Francesco
    Palmirani, Monica
    Vitali, Fabio
    LEGAL KNOWLEDGE AND INFORMATION SYSTEMS, 2020, 334 : 143 - 153
  • [6] A Method for Complex Question-Answering over Knowledge Graph
    Yang, Lei
    Guo, Haonan
    Dai, Yu
    Chen, Wanheng
    APPLIED SCIENCES-BASEL, 2023, 13 (08):
  • [7] Question-answering system
    Stupina, A. A.
    Zhukov, E. A.
    Ezhemanskaya, S. N.
    Karaseva, M. V.
    Korpacheva, L. N.
    XII INTERNATIONAL SCIENTIFIC AND RESEARCH CONFERENCE TOPICAL ISSUES IN AERONAUTICS AND ASTRONAUTICS, 2016, 155
  • [8] A Question-Answering Assistant over Personal Knowledge Graph
    Liu, Lingyuan
    Du, Huifang
    Zhang, Xiaolian
    Guo, Mengying
    Wang, Haofen
    Wang, Meng
    PROCEEDINGS OF THE 47TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2024, 2024, : 2708 - 2712
  • [9] Automatic Medical Knowledge Acquisition Using Question-Answering
    Pasche, Emilie
    Teodoro, Douglas
    Gobeill, Julien
    Ruch, Patrick
    Lovis, Christian
    MEDICAL INFORMATICS IN A UNITED AND HEALTHY EUROPE, 2009, 150 : 569 - 573
  • [10] EXTERNALIZING QUESTION-ANSWERING STRATEGIES OF GOOD AND POOR COMPREHENDERS
    GARNER, R
    WAGONER, S
    SMITH, T
    READING RESEARCH QUARTERLY, 1983, 18 (04) : 439 - 447