@inproceedings{7a762c2f12ac4df9b5e897da52a67584,
title = "Dialogue management for intelligent TV based on statistical learning method",
abstract = "In this paper, we introduce a practical spoken dialogue interface for intelligent TV based on goal-oriented dialogue modeling. It uses a frame structure for representing the user intention and determining the next action. To analyze discourse context, we employ several statistical learning techniques and device an incremental dialogue strategy learning method from training corpus. By empirical experiments, we demonstrated the efficiency of the proposed system. In case of the subjective evaluation, we obtained 73\% user satisfaction ratio, while the objective evaluation result was over 90\% in case of a restricted situation for commercialization1.",
author = "Oh, \{Hyo Jung\} and Lee, \{Chung Hee\} and Hwang, \{Yi Gyu\} and Jang, \{Myung Gil\}",
year = "2007",
doi = "10.1007/978-3-540-74628-7\_83",
language = "English",
isbn = "9783540746270",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "644--652",
booktitle = "Text, Speech and Dialogue - 10th International Conference, TSD 2007, Proceedings",
note = "10th International Conference on Text, Speech and Dialogue, TSD 2007 ; Conference date: 03-09-2007 Through 07-09-2007",
}