Presentation | 2019-11-28 Emotion Learning from Emotion Tags and Comparative Experience with LSTM and GRU Kuniaki Yuba, Eisuke Ito, |
---|---|
PDF Download Page | ![]() |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Dialogue Programs have improved their performances by using GPU and Servers.But, their characters are low diversity and there aren’t services to create their programs for users. So, we pay attention to Desktop Mascots that were created for users and high diversity and try to solve this problem by incorporating dialogue technology into these Desktop Mascot. As a starting point, we decided to conduct Emotional learnings and Comparative Experiences LSTM and GRU. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Seq2Seq / LSTM / GRU / Emortional Learning / Desktop Mascot |
Paper # | AI2019-35 |
Date of Issue | 2019-11-21 (AI) |
Conference Information | |
Committee | AI |
---|---|
Conference Date | 2019/11/28(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Naoki Fukuta(Shizuoka Univ.) |
Vice Chair | Yuichi Sei(Univ. of Electro-Comm.) / Yuko Sakurai(AIST) |
Secretary | Yuichi Sei(Osaka Univ.) / Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) |
Assistant |
Paper Information | |
Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Emotion Learning from Emotion Tags and Comparative Experience with LSTM and GRU |
Sub Title (in English) | Heading toward Sublimation from Desktop Mascot to AI Agent |
Keyword(1) | Seq2Seq |
Keyword(2) | LSTM |
Keyword(3) | GRU |
Keyword(4) | Emortional Learning |
Keyword(5) | Desktop Mascot |
1st Author's Name | Kuniaki Yuba |
1st Author's Affiliation | Kyushu University(Kyudai) |
2nd Author's Name | Eisuke Ito |
2nd Author's Affiliation | Kyushu University(Kyudai) |
Date | 2019-11-28 |
Paper # | AI2019-35 |
Volume (vol) | vol.119 |
Number (no) | AI-317 |
Page | pp.pp.31-36(AI), |
#Pages | 6 |
Date of Issue | 2019-11-21 (AI) |