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文章基本信息

  • 标题:Argument-structure and implicational constructions in a knowledge base
  • 本地全文:下载
  • 作者:Alba Luzondo-Oyón ; Francisco José Ruiz de Mendoza Ibáñez
  • 期刊名称:Onomázein
  • 印刷版ISSN:0717-1285
  • 电子版ISSN:0718-5758
  • 出版年度:2017
  • 期号:35
  • 页码:25-48
  • 语种:English
  • 出版社:Pontificia Universidad Católica de Chile
  • 其他摘要:This paper provides formalized, machine-tractable representations of two broad kinds of constructional configuration, argument-structure and implicational constructions, on the basis of previous linguistic analyses. It discusses computational implementation require - ments on constructional description. In this respect, the paper argues that the Goldbergian approach (cf. Goldberg, 2006) provides the best fit for the implementation of implicational constructions, while a “mini-constructionist” account (cf. Boas, 2014) is suitable for argument- structure constructions. Because of their representativeness, we have chosen to illustrate our discussion by making reference to the family of English resultatives , which are argument- structure constructions, and to the family of Wh-attitudinal constructions, which are implica - tional. Computational implementation demands that the members of the family of the resul - tative be split into mini-constructions, while the complexity of implicational configurations requires that different formal variants be grouped together under one single computational representation. The paper further makes explicit proposals for the machine tractability of lexical-constructional integration and of meaning implications that have reached construc - tional status through entrenchment, two problems that remain unsolved within standard computational approaches to language processing.
  • 其他关键词:Constructions; Construction Grammar; cognitive models; knowledge-base; Lexical Constructional Model; Natural Language Processing.
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