Presentation | 2003/12/12 User Utterance Segmentation for Information-Seeking Dialogue Ryoko TOKUHISA, Ryuta TERASHIMA, Toshihiro WAKITA, Kentaro INUI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | One of the old but unsolved issues in designing mixed-initiative spoken dialogue systems is how to decide the timing of system utterances. This paper addresses the issue restricting the target domain to information-seeking dialogues. We first claim that it is critically important for a system to decide when it should takes the dialogue initiative, and define the notion of information-requesting utterance segments (IRUSs), which gives useful clues for turn/initiative taking. We then report the present results of our experiments in which we took a machine learning-based approach achieving 81.1% accuracy in segmenting user utterances into IRUSs. We also examined how speech recognition errors influenced the performance of our model, finding that it worked tolerantly to at most 30% word recognition errors. |
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Paper # | NLC2003-91 |
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Committee | NLC |
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Conference Date | 2003/12/12(1days) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | User Utterance Segmentation for Information-Seeking Dialogue |
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1st Author's Name | Ryoko TOKUHISA |
1st Author's Affiliation | Toyota Central R&D Labs., INC.() |
2nd Author's Name | Ryuta TERASHIMA |
2nd Author's Affiliation | Toyota Central R&D Labs., INC. |
3rd Author's Name | Toshihiro WAKITA |
3rd Author's Affiliation | Toyota Central R&D Labs., INC. |
4th Author's Name | Kentaro INUI |
4th Author's Affiliation | Graduate School of Information Science Nara Institute of Science and Technology |
Date | 2003/12/12 |
Paper # | NLC2003-91 |
Volume (vol) | vol.103 |
Number (no) | 518 |
Page | pp.pp.- |
#Pages | 6 |
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