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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bin Wanq Minghu Jiang |
| Copyright Year | 2003 |
| Description | Author affiliation: Chinese Dept., Tsinghua Univ., Beijing, China (Bin Wanq; Minghu Jiang) |
| Abstract | Recognition of the topic from utterances is part of the discourse analysis in a spoken dialog system. At present, many spoken dialog systems take the key point on semantic surface, ignoring the context dependent interpretation of utterances. We present an approach to recognition of user's intentions and topics through bottom-up and top-down analyses. It uses a transition network of user intentions and a tree of topics to describe the dialog history. And the experimental results show that the correct recognition rates were 83.8% for the topic and 81.3% for the user intention. It can provide more knowledge for system and therefore enhance the system performance greatly. |
| Sponsorship | Chinese Assoc. for Artificial Intelligence, China Chinese Inst. of Electron., China Chinese Inf. Processing Soc., China Beijing Network and Multimedia Lab., China IEEE Signal Processing Soc. IEEE Syst., Man and Cybernetics Soc. IEEE Beijing Section |
| Starting Page | 186 |
| Ending Page | 191 |
| File Size | 357354 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780379020 |
| DOI | 10.1109/NLPKE.2003.1275892 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-10-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Educational programs Speech analysis System performance Natural languages Europe Educational institutions Computational linguistics Man machine systems History Application software |
| Content Type | Text |
| Resource Type | Article |
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