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"Improving Feature-Rich Transition-Based Constituent Parsing Using ..."

Chunpeng Ma et al. (2017)

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DOI: 10.1587/TRANSINF.2017EDP7003

access: closed

type: Journal Article

metadata version: 2020-04-11

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  dblp key:
  - journals/ieicet/MaTLZS17
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  persistent URL:
  - https://dblp.org/rec/journals/ieicet/MaTLZS17
Chunpeng Ma, Akihiro Tamura, Lemao Liu, Tiejun Zhao, Eiichiro Sumita:
Improving Feature-Rich Transition-Based Constituent Parsing Using Recurrent Neural Networks. IEICE Trans. Inf. Syst. 100-D(9): 2205-2214 (2017)

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