Intimacy Estimation of the Characters in Drama Scenario
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- MATSUMOTO Kazuyuki
- Faculty of Science and Technology, Tokushima University
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- AKITA Kyosuke
- Hitachi Systems, Ltd.
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- REN Fuji
- Faculty of Science and Technology, Tokushima University
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- YOSHIDA Minoru
- Faculty of Science and Technology, Tokushima University
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- KITA Kenji
- Faculty of Science and Technology, Tokushima University
Bibliographic Information
- Other Title
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- 演劇台本における登場人物間の親密度推定手法
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Description
<p>Recently, a portable digital device equipped with voice guidance has been widely used, increasing the demand for the usability-conscious dialogue system. One of the problems with the existing dialogue system is its immature application to non-task-oriented dialogue. Non-task-oriented dialogue requires some scheme that enables smooth and flexible conversations with a user. For example, it would be possible to provide topics related to a person who is familiar with a user or avoid providing topics related to a person who is not a good friend with the user, by considering relationship with others in real life of the user.</p><p>In this paper, we focus on the dialogue made by the two characters in a drama scenario, and tried to express their relationship with a scale of “intimacy degree.” There will be such various elements related to the intimacy degree as the frequency of response to the utterance and the attitude of a speaker during the dialogue. We focus on the emotional state of the speaker during the utterance and try to realize an intimacy estimation with high accuracy. As the evaluation result, we achieved high accuracy in intimacy estimation than the existing method based on speech role.</p>
Journal
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- Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
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Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 30 (3), 591-604, 2018-06-15
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390564237991620096
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- NII Article ID
- 130007397217
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- NII Book ID
- AA1181479X
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- ISSN
- 18817203
- 13477986
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- Text Lang
- ja
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- Data Source
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- JaLC
- IRDB
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
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- Abstract License Flag
- Disallowed