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Journal Article An Intelligent TV interface based on Statistical Dialogue Management
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Authors
Hyo-Jung Oh, Chung-Hee Lee, Myung-Gil Jang, Yun Keun Lee
Issue Date
2007-11
Citation
IEEE Transactions on Consumer Electronics, v.53, no.4, pp.1602-1607
ISSN
0098-3063
Publisher
IEEE
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/TCE.2007.4429258
Project Code
07MW1700, Development of large vocabulary/interactive distributed/embedded VUI for new growth engine industries, Lee Yunkeun
Abstract
In this paper, we propose an intelligent TV interface using a voice-enable dialogue system. This paper rests on the both directions: a new type of dialogue management model and its use for practical systems to commercialize. We devise a practical dialogue management model based on statistical learning methods. To analyze discourse context, we utilize statistical learning techniques for anaphora resolution and discourse history management. Contrary to the rule-based system, we develop an incremental learning method to construct dialogue strategies from the training corpus. Several dialogue service models equipped with the proposed TV interface are explained. To evaluate our model and its impact on an application task, we apply the stand-alone model to an TV settop box called eDi-TV. © 2007 IEEE.
KSP Keywords
Anaphora resolution, Dialogue management, Discourse context, History management, Incremental learning method, Management model, Rule-based System, Service Model, Stand-Alone, Statistical Learning, dialogue system