中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A maximum entropy approach for spoken Chinese understanding

文献类型:期刊论文

作者Xie, GD; Zong, CQ; Xu, B; Gelbukh, A
刊名COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, PROCEEDINGS
出版日期2003
卷号2588页码:91-100
英文摘要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
类目[WOS]Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Language & Linguistics
研究领域[WOS]Computer Science ; Linguistics
收录类别ISTP ; ISSHP ; SCI
语种英语
WOS记录号WOS:000182492300010
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9936]  
专题自动化研究所_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.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。