Diachronic deviation features in continuous space word representations

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	Diachronic deviation features in continuous space word representations
	Sun, Ni ; Chen, Tongfei ; Xiao, Liumingjing ; Hu, Junfeng
刊名	lecture notes in computer science including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics
	2014
英文摘要	In distributed word representation, each word is represented as a unique point in the vector space. This paper extends this to a diachronic setting, where multiple word embeddings are generated with corpora in different time periods. These multiple embeddings can be mapped to a single target space via a linear transformation. In this target space each word is thus represented as a distribution. The deviation features of this distribution can reflect the semantic variation of words through different time periods. Experiments show that word groups with similar deviation features can indicate the hot topics in different ages. And the frequency change of these word groups can be used to detect the age of peak celebrity of the topics in the history. ? Springer International Publishing Switzerland 2014.; EI; 0; 23-33; 8801
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/295115]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Sun, Ni,Chen, Tongfei,Xiao, Liumingjing,et al. Diachronic deviation features in continuous space word representations[J]. lecture notes in computer science including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics,2014.
APA	Sun, Ni,Chen, Tongfei,Xiao, Liumingjing,&Hu, Junfeng.(2014).Diachronic deviation features in continuous space word representations.lecture notes in computer science including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics.
MLA	Sun, Ni,et al."Diachronic deviation features in continuous space word representations".lecture notes in computer science including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics (2014).