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World Knowledge in Computational Models of Discourse Comprehension

机译:话语理解计算模型中的世界知识

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Because higher level cognitive processes generally involve the use of world knowledge, computational models of these processes require the implementation of a knowledge base. This article identifies and discusses 4 strategies for dealing with world knowledge in computational models: disregarding world knowledge, ad hoc selection, extraction from text corpora, and implementation of all knowledge about a simplified microworld. Each of these strategies is illustrated by a detailed discussion of a model of discourse comprehension. It is argued that seemingly successful modeling results are uninformative if knowledge is implemented ad hoc or not at all, that knowledge extracted from large text corpora is not appropriate for discourse comprehension, and that a suitable implementation can be obtained by applying the microworld strategy.
机译:因为较高级别的认知过程通常涉及世界知识的使用,所以这些过程的计算模型需要实现知识库。本文确定并讨论了在计算模型中处理世界知识的4种策略:无视世界知识,临时选择,从文本语料库中提取以及实现有关简化的微世界的所有知识。通过对话语理解模型的详细讨论来说明每种策略。有人认为,无论是临时实施知识还是根本不实施知识,看似成功的建模结果都无济于事,从大文本语料库中提取的知识不适合话语理解,并且可以通过应用微观世界策略来获得合适的实现。

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  • 来源
    《Discourse Processes》 |2008年第6期|429-463|共35页
  • 作者单位

    Nijmegen Institute for Cognition and Information, Radboud University Nijmegen, The Netherlands;

    Nijmegen Institute for Cognition and Information, Radboud University Nijmegen, The Netherlands;

    Nijmegen Institute for Cognition and Information, Radboud University Nijmegen, The Netherlands;

    Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands|Center for Language Studies, Radboud University, Nijmegen, The Netherlands;

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