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  • 标题:Improving a Strong Neural Parser with Conjunction-Specific Features
  • 本地全文:下载
  • 作者:Jessica Ficler ; Yoav Goldberg
  • 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:343-348
  • 语种:English
  • 出版社:ACL Anthology
  • 摘要:While dependency parsers reach very high overall accuracy, some dependency relations are much harder than others. In particular, dependency parsers perform poorly in coordination construction (i.e., correctly attaching the conj relation). We extend a state-of-the-art dependency parser with conjunction-specific features, focusing on the similarity between the conjuncts head words. Training the extended parser yields an improvement in conj attachment as well as in overall dependency parsing accuracy on the Stanford dependency conversion of the Penn TreeBank.
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