BROWSE
Detail
Journal Article
An Intelligent TV interface based on Statistical Dialogue Management
Cited 3 time in 
Download 13 time
Share 
Download 13 time
Share
- 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
- 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