Named Entity Recognition for Chinese microblog with Convolutional Neural Network

被引：0

作者：

Zhang, Liang ^{[1
]}

Zhao, Huan ^{[1
]}

机构：

[1] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China

来源：

2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) | 2017年

关键词：

Convolutional Neural Network; Named Entity Recognition;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Named Entity Recognition (NER) has usually focused on traditional formal text. we consider the task of NER on microblog text. In this paper, we propose a Convolutional Neural Network for NER in Chinese microblog text. Instead of traditional machine learning needing man-made input features carefully optimized for NER task, our system learns the words feature by itself. Our network uses a sliding window of word context to predict tags. Experimental results show that our model achieved 80% accuracy on this task.

引用

页码：87 / 92

页数：6

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