A maximum entropy approach for spoken Chinese understanding

CASIA OpenIR > 09年以前成果

	A maximum entropy approach for spoken Chinese understanding
	Xie, GD; Zong, CQ; Xu, B; Gelbukh, A
发表期刊	COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, PROCEEDINGS
	2003
卷号	2588 页码:91-100
文章类型	Article
摘要	In this paper, we present a spoken language understanding method based on the maximum entropy model. We first extract certain features from the corpus, and then train the maximum entropy model with an annotated corpus. We use this model to analyze spoken Chinese into semantic frames. Experiments show that the model can work effectively.
WOS标题词	Science & Technology ; Social Sciences ; Technology
收录类别	ISTP ; ISSHP ; SCI
语种	英语
WOS研究方向	Computer Science ; Linguistics
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Language & Linguistics
WOS记录号	WOS:000182492300010
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/9936
专题	09年以前成果
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Xie, GD,Zong, CQ,Xu, B,et al. A maximum entropy approach for spoken Chinese understanding[J]. COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, PROCEEDINGS,2003,2588:91-100.
APA	Xie, GD,Zong, CQ,Xu, B,&Gelbukh, A.(2003).A maximum entropy approach for spoken Chinese understanding.COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, PROCEEDINGS,2588,91-100.
MLA	Xie, GD,et al."A maximum entropy approach for spoken Chinese understanding".COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, PROCEEDINGS 2588(2003):91-100.