A Joint Model to Identify and Align Bilingual Named Entities

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 自然语言处理

	A Joint Model to Identify and Align Bilingual Named Entities
	Chen, Yufeng; Zong, Chengqing; Su, Keh-Yih
发表期刊	COMPUTATIONAL LINGUISTICS
	2013-06-01
卷号	39 期号:2 页码:229-266
文章类型	Article
摘要	In this article, an integrated model is derived that jointly identifies and aligns bilingual named entities (NEs) between Chinese and English. The model is motivated by the following observations: (1) whether an NE is translated semantically or phonetically depends greatly on its entity type, (2) entities within an aligned pair should share the same type, and (3) the initially detected NEs can act as anchors and provide further information while selecting NE candidates. Based on these observations, this article proposes a translation mode ratio feature (defined as the proportion of NE internal tokens that are semantically translated), enforces an entity type consistency constraint, and utilizes additional new NE likelihoods (based on the initially detected NE anchors).
关键词	Bilingual Named Entities
WOS标题词	Science & Technology ; Social Sciences ; Technology
收录类别	SCI ; SSCi
语种	英语
WOS研究方向	Computer Science ; Linguistics
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Linguistics ; Language & Linguistics
WOS记录号	WOS:000318556900001
引用统计	被引频次：13[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/40888
专题	多模态人工智能系统全国重点实验室_自然语言处理
通讯作者	Chen, Yufeng
推荐引用方式 GB/T 7714	Chen, Yufeng,Zong, Chengqing,Su, Keh-Yih. A Joint Model to Identify and Align Bilingual Named Entities[J]. COMPUTATIONAL LINGUISTICS,2013,39(2):229-266.
APA	Chen, Yufeng,Zong, Chengqing,&Su, Keh-Yih.(2013).A Joint Model to Identify and Align Bilingual Named Entities.COMPUTATIONAL LINGUISTICS,39(2),229-266.
MLA	Chen, Yufeng,et al."A Joint Model to Identify and Align Bilingual Named Entities".COMPUTATIONAL LINGUISTICS 39.2(2013):229-266.