Social Media Text Generation Based on Neural Network Model

被引：3
|
作者：
Cao, Jiarun [1 ]
Wang, Chongwen [1 ]
机构：
[1] Beijing Inst Technol, Digital Media Res Inst, Beijing, Peoples R China
来源：
PROCEEDINGS OF 2018 THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE (CSAI 2018) / 2018 THE 10TH INTERNATIONAL CONFERENCE ON INFORMATION AND MULTIMEDIA TECHNOLOGY (ICIMT 2018) | 2018年
关键词：
Natural Language Generation; Neural Network Model; Social Media application;
D O I：
10.1145/3297156.3297206
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The social media text is increasing rapidly in recent years. With this background, natural language generation technology is mature enough for implementing an NLG system in some general field, but the circumstance is difficult in the social media field because of the linguistic arbitrariness. This paper presents a neural network model building a social media NLG system. Compared with state-of-art model, our system outperforms the existing NLG system in the social media field.
引用
收藏
页码：58 / 61
页数：4
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