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文章基本信息

  • 标题:Dependency Parsing as Head Selection
  • 本地全文:下载
  • 作者:Xingxing Zhang ; Jianpeng Cheng ; Mirella Lapata
  • 期刊名称:Conference on European Chapter of the Association for Computational Linguistics (EACL)
  • 出版年度:2017
  • 卷号:2017
  • 页码:665-676
  • 语种:English
  • 出版社:ACL Anthology
  • 摘要:Conventional graph-based dependency parsers guarantee a tree structure both during training and inference. Instead, we formalize dependency parsing as the problem of independently selecting the head of each word in a sentence. Our model which we call DENSE.
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