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文章基本信息

  • 标题:Sentence Meaning Representations Across Languages: What Can We Learn from Existing Frameworks?
  • 本地全文:下载
  • 作者:Zdeněk Žabokrtský ; Daniel Zeman ; Magda Ševčíková
  • 期刊名称:Computational Linguistics
  • 印刷版ISSN:0891-2017
  • 电子版ISSN:1530-9312
  • 出版年度:2020
  • 卷号:46
  • 期号:3
  • 页码:605-665
  • DOI:10.1162/coli_a_00385
  • 出版社:MIT Press
  • 摘要:This article gives an overview of how sentence meaning is represented in eleven deep-syntactic frameworks, ranging from those based on linguistic theories elaborated for decades to rather lightweight NLP-motivated approaches. We outline the most important characteristics of each framework and then discuss how particular language phenomena are treated across those frameworks, while trying to shed light on commonalities as well as differences.
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