助词“的”用法自动识别研究

Based on the triune Chinese function word usage knowledge base (CFKB), the rule-based method, CRF (conditional random field) model and GRU (gated recurrent unit) are adopted to automatically recognize the usages of auxiliary "DE", and the accuracy rates are 34.4%, 77.5% and 81.3% respectiv...

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Bibliographic Details
Published inBeijing da xue xue bao Vol. 54; no. 3; pp. 466 - 474
Main Authors Liu, Qiuhui, Zhang, Kunli, Xu, Hongfei, Yu, Shiwen, Zan, Hongying
Format Journal Article
LanguageChinese
Published Beijing Acta Scientiarum Naturalium Universitatis Pekinenis 20.05.2018
郑州大学信息工程学院 郑州 450001%北京大学计算语言学教育部重点实验室,北京,100871
Subjects
Accuracy
Neural networks
GRU (gated recurrent unit)
规则
CRF (conditional random field)
CRF
门循环单元
rule
"的"
"DE"
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Summary:Based on the triune Chinese function word usage knowledge base (CFKB), the rule-based method, CRF (conditional random field) model and GRU (gated recurrent unit) are adopted to automatically recognize the usages of auxiliary "DE", and the accuracy rates are 34.4%, 77.5% and 81.3% respectively. In order to improve the accuracy, some usages of auxiliary "DE" are combined and formed coarse-grained usage. The accuracy of CRF achieves 81.8%, and the accuracy of neural network model achieves 84.5%. It is expected that the recognition result of auxiliary "DE" can improve the performance of other NLP task.
ISSN:0479-8023
DOI:10.13209/j.0479-8023.2017.167