Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yuiko Tsunomori"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract If a dialogue system can predict the personality of a user from dialogue, it will enable the system to adapt to the user’s personality, leading to better task success and user satisfaction. In a recent study, personality prediction was per
Externí odkaz:
https://doaj.org/article/9b3a922dc17b4020988441f4bc77256d
Publikováno v:
Journal of Natural Language Processing. 27:65-88
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::062430e01abe8e0b916489aa920cce1b
https://doi.org/10.5715/jnlp.27.65
https://doi.org/10.5715/jnlp.27.65
Autor:
Y-Lan Boureau, Ryuichiro Higashinaka, Michimasa Inaba, Julien Perez, Chiori Hori, Yuiko Tsunomori, Takaaki Hori, Seokhwan Kim, Koichiro Yoshino, Tetsuro Takahashi
Publikováno v:
Computer Speech & Language. 55:1-25
This paper describes the experimental setups and the evaluation results of the sixth Dialog System Technology Challenges (DSTC6) aiming to develop end-to-end dialogue systems. Neural network models have become a recent focus of investigation in dialo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbe79c8f8db9d45002c683c98e2adb39
https://doi.org/10.1016/j.csl.2018.09.004
https://doi.org/10.1016/j.csl.2018.09.004
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811593222
IWSDS
IWSDS
A chat-oriented dialogue system can become more likeable if it can remember information about users and use that information during a dialogue. We propose a chat-oriented dialogue system that can use user information acquired during a dialogue and di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fd2236c5d4462581fcbf263890c6ec4
https://doi.org/10.1007/978-981-15-9323-9_19
https://doi.org/10.1007/978-981-15-9323-9_19
Autor:
Ryuichiro Higashinaka, Bayan Abu Shawar, Kotaro Funakoshi, Tetsuro Takahashi, Yuiko Tsunomori, Michimasa Inaba, João Sedoc, Rafael E. Banchs, Luis Fernando D'Haro
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811593222
IWSDS
IWSDS
To promote the research and development of dialogue breakdown detection for dialogue systems, we have been organizing a series of dialogue breakdown detection challenges to detect a system’s inappropriate utterances that lead to dialogue breakdowns
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::173ac1b396213018c1ece137fb2c54da
https://doi.org/10.1007/978-981-15-9323-9_38
https://doi.org/10.1007/978-981-15-9323-9_38
Publikováno v:
Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41a4bc18038375fb5465f5d6cbdeca86
https://doi.org/10.18653/v1/2021.nlp4convai-1.25
https://doi.org/10.18653/v1/2021.nlp4convai-1.25
Publikováno v:
Transactions of the Japanese Society for Artificial Intelligence. 35:DSI-B_1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d19d1050c8f22733dd8afdd3567bd14
https://doi.org/10.1527/tjsai.dsi-b
https://doi.org/10.1527/tjsai.dsi-b
Publikováno v:
Natural Language Dialog Systems and Intelligent Assistants ISBN: 9783319192901
IWSDS
IWSDS
When humans attempt to detect deception, they perform two actions: looking for telltale signs of deception and asking questions to attempt to unveil a deceptive conversational partner. There has been significant prior work on automatic deception dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3040614db38354d96124723a48440dc1
https://doi.org/10.1007/978-3-319-19291-8_17
https://doi.org/10.1007/978-3-319-19291-8_17