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Gated recurrent unit model for a sequence tagging problem

Rekia Kadari Zhang Yu Zhang Weinan Liu Ting

高技术通讯(英文版)2019,Vol.25Issue(1):81-87,7.
高技术通讯(英文版)2019,Vol.25Issue(1):81-87,7.DOI:10.3772/j.issn.1006-6748.2019.01.011

Gated recurrent unit model for a sequence tagging problem

Gated recurrent unit model for a sequence tagging problem

Rekia Kadari 1Zhang Yu 1Zhang Weinan 1Liu Ting1

作者信息

  • 1. Research Center for Social Computing and Information Retrieval, Harbin Institute of Technology, Harbin 150001, P. R. China
  • 折叠

摘要

关键词

combinatory categorial grammer ( CCG)/CCG supertagging/deep learning/gated recurrent unit ( GRU)

Key words

combinatory categorial grammer ( CCG)/CCG supertagging/deep learning/gated recurrent unit ( GRU)

引用本文复制引用

Rekia Kadari,Zhang Yu,Zhang Weinan,Liu Ting..Gated recurrent unit model for a sequence tagging problem[J].高技术通讯(英文版),2019,25(1):81-87,7.

基金项目

Supported by the National Basic Research Program (No. 2014CB340503) and the National Natural Science Foundation of China (No. 61472105,61502120). (No. 2014CB340503)

高技术通讯(英文版)

OAEI

1006-6748

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