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Positive unlabeled named entity recognition with multi-granularity linguistic information

Ouyang Xiaoye Chen Shudong Wang Rong

高技术通讯（英文版）2021，Vol.27Issue(4)：373-380,8.

高技术通讯（英文版）2021，Vol.27Issue(4)：373-380,8.DOI:10.3772/j.issn.1006-6748.2021.04.005

Positive unlabeled named entity recognition with multi-granularity linguistic information

Ouyang Xiaoye ¹Chen Shudong ²Wang Rong¹

作者信息

1. Institute of Microelectronics,Chinese Academy of Sciences,Beijing 100029,P.R.China
2. University of Chinese Academy of Sciences,Beijing 100049,P.R.China
折叠

摘要

关键词

named entity recognition (NER)/deep learning/neural network/positive-unla-beled learning/label-few domain/multi-granularity (PU)

Key words

named entity recognition (NER)/deep learning/neural network/positive-unla-beled learning/label-few domain/multi-granularity (PU)

引用本文复制引用

Ouyang Xiaoye,Chen Shudong,Wang Rong..Positive unlabeled named entity recognition with multi-granularity linguistic information[J].高技术通讯（英文版）,2021,27(4):373-380,8.

基金项目

Supported by the National Natural Science Foundation of China (No.61876144) and the Strategy Priority Research Program of Chinese Acade-my of Sciences (No.XDC02070600). （No.61876144）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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