Presentation | 2004/10/29 Towards Utterance Generation by Event Recognition Hikaru KOMINAMI, Suguru SAITO, Manabu OKUMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In telling what happened, we choose the core phenomena among the recognized various information in the situation and generate appropriate sentences for them. This ability would be required for computer systems. In this paper, we propose the technique to generate expressions for changed situations. Especially, we discuss the width of attention time and the timing of selection of suitable phenomenon in order to report changes of situation. Therefore, we introduce the model that imitates people's way of recognizing changes of situation by the width of attention time. Then we verify the validity and usefulness of the model. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | event recognition / the width of attention time / the timing of selection of suitable phenomenon |
Paper # | NLC2004-32 |
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Committee | NLC |
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Conference Date | 2004/10/29(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Towards Utterance Generation by Event Recognition |
Sub Title (in English) | |
Keyword(1) | event recognition |
Keyword(2) | the width of attention time |
Keyword(3) | the timing of selection of suitable phenomenon |
1st Author's Name | Hikaru KOMINAMI |
1st Author's Affiliation | Department of Computational Intelligence and System Science, Interdiciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology() |
2nd Author's Name | Suguru SAITO |
2nd Author's Affiliation | Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology |
3rd Author's Name | Manabu OKUMURA |
3rd Author's Affiliation | Precision and Intelligence Laboratory, Tokyo Institute of Technology |
Date | 2004/10/29 |
Paper # | NLC2004-32 |
Volume (vol) | vol.104 |
Number (no) | 417 |
Page | pp.pp.- |
#Pages | 6 |
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