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A maximum entropy approach for spoken Chinese understanding
Xie, GD; Zong, CQ; Xu, B; Gelbukh, A
Source PublicationCOMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, PROCEEDINGS
2003
Volume2588Pages:91-100
SubtypeArticle
AbstractIn 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 HeadingsScience & Technology ; Social Sciences ; Technology
Indexed ByISTP ; ISSHP ; SCI
Language英语
WOS Research AreaComputer Science ; Linguistics
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Language & Linguistics
WOS IDWOS:000182492300010
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9936
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Recommended Citation
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.
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