NDLI: The disambiguation strategies of semantic analysis in Chinese spoken dialogue system

Content Provider	IEEE Xplore Digital Library
Author	Bei Liu Limin Du
Copyright Year	2004
Description	Author affiliation: Inst. of Acoust., Acad. Sinica, Beijing, China (Bei Liu; Limin Du)
Abstract	Semantic frame analysis is one of the most commonly used semantic analysis methods in Chinese spoken dialogue system research. And the two typical ambiguous structures commonly encountered in semantic analysis are relation-ambiguity and structural-ambiguity. According to the features of these two ambiguous structures, this paper puts forth the semantic PCFG (probabilistic context free grammar) model based disambiguation strategy to solve structural-ambiguity, and the expectation model (EM) based disambiguation strategy to solve relation-ambiguity. Efficient algorithms of the two methods are also provided. The experimental results show that applying these two disambiguation strategies can greatly improve the performance of language understanding in a base-line system. Especially, sentence accuracy is improved from 75.7% to 91.5%, and the three targets of semantic unit understanding rate-correction, recall, and precision are also improved by 10% on average.
Starting Page	189
Ending Page	192
File Size	271699
Page Count	4
File Format	PDF
ISBN	0780386787
DOI	10.1109/CHINSL.2004.1409618
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-12-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech analysis Natural languages Decision making Failure analysis Acoustics Knowledge management Computational linguistics History Gratings Context modeling
Content Type	Text
Resource Type	Article

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