Tibetan Text Classification Using Distributed Representations of Words

	Tibetan Text Classification Using Distributed Representations of Words
	Jiang, Tao; Yu, Hongzhi ; Zhang, Bing
	2015
会议名称	PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON ASIAN LANGUAGE PROCESSING
会议录名称	IEEE
页码	123-126
会议日期	OCT 24-25, 2015
会议地点	Suzhou, PEOPLES R CHINA
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
出版者	IEEE
摘要	Tibetan text classification is one of the most important research topics in Tibetan information processing. In the existing Tibetan text classification method, the representation of documents is based on traditional vector space model which has the high dimension data and lack semantic information. In this paper, a Tibetan text classification based on distributed representations of words method is proposed. With this method one can first tags the POS of the document by using maximum entropy model, and then selects only nouns and verbs as key features. At last document are represented by the weight of the word classes, which are trained by word2vec tool. The experimental results show that our model outperforms competitive traditional Tibetan text classification method, and the F-measure has improved by 9%.
关键词	text classification distributed representations word2vec Tibetan text POS
URL	查看原文
收录类别	CPCI ; CPCI-S
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000380428000031
原始文献类型	Proceedings Paper
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/9735
专题	财税与公共管理学院人事处（教师发展中心）
作者单位	1.Northwest Univ Nationalities, Inst Informat Technol, Lanzhou, Peoples R China; 2.Lanzhou Univ Finance & Ecnom, Personnel Dept, Lanzhou, Peoples R China
推荐引用方式 GB/T 7714	Jiang, Tao,Yu, Hongzhi,Zhang, Bing. Tibetan Text Classification Using Distributed Representations of Words[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2015:123-126.