Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Manabu Sasayama"'
Publikováno v:
Sensors, Vol 22, Iss 2, p 694 (2022)
Currently, task-oriented dialogue systems that perform specific tasks based on dialogue are widely used. Moreover, research and development of non-task-oriented dialogue systems are also actively conducted. One of the problems with these systems is t
Externí odkaz:
https://doaj.org/article/529468b6baf645be993bd19e200315be
Publikováno v:
Industrial Health; 2024, Vol. 62 Issue 4, p237-251, 15p
Publikováno v:
2022 8th International Conference on Systems and Informatics (ICSAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::771d117a8b8293dfed0f0425dbc93566
https://doi.org/10.1109/icsai57119.2022.10005454
https://doi.org/10.1109/icsai57119.2022.10005454
Autor:
Tomoki Kusunose, Xin Kang, Keita Kiuchi, Ryota Nishimura, Manabu Sasayama, Kazuyuki Matsumoto
Publikováno v:
2022 8th International Conference on Systems and Informatics (ICSAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15ac15c33650d48eed0d8379f8b7d1d4
https://doi.org/10.1109/icsai57119.2022.10005478
https://doi.org/10.1109/icsai57119.2022.10005478
Publikováno v:
Electronics; Volume 11; Issue 5; Pages: 695
In dialogues between robots or computers and humans, dialogue breakdown analysis is an important tool for achieving better chat dialogues. Conventional dialogue breakdown detection methods focus on semantic variance. Although these methods can detect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26db2b9c6be7d801c57198dffefe9ad6
Publikováno v:
2021 5th International Conference on Natural Language Processing and Information Retrieval (NLPIR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50022f9c4f4ce2b5795a726e1ecdb7c5
https://doi.org/10.1145/3508230.3508237
https://doi.org/10.1145/3508230.3508237
Autor:
Manabu Sasayama, Kazuyuki Matsumoto
Publikováno v:
2021 5th International Conference on Natural Language Processing and Information Retrieval (NLPIR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a16049742258b178be73b2d5a9a52944
https://doi.org/10.1145/3508230.3508236
https://doi.org/10.1145/3508230.3508236
Publikováno v:
CCIS
The paper presents a novel approach to predict human's emotion in the dialogue. We target the scenario dialogue corpora. The corpora are annotated by some subjects with emotion tag. We use sentence embedding by Bidirectional Encoder Representations f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::783bdaca24ff307a8e151148c6b5855b
https://doi.org/10.1109/ccis48116.2019.9073750
https://doi.org/10.1109/ccis48116.2019.9073750
Publikováno v:
CCIS
In prior research, there are various emotion estimation approaches that are corpus-based, dictionary-based, or rule-based. However, it is necessary to prepare language resources suitable to each domain, which will incur substantial cost. In this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87c2f1c2da5f2a17d294cff47cb57744
https://doi.org/10.1109/ccis.2018.8691207
https://doi.org/10.1109/ccis.2018.8691207
Publikováno v:
Proceedings of the 2nd Information Technology and Mechatronics Engineering Conference (ITOEC 2016TOEC 2016).
In this study, we focused on fragment of wrong lyrics that are heard or remembered wrongly and entered as query for lyric search. Concretely, we aimed to improve search accuracy by query conversion considering noise of word. We also tried to calculat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bac540ef4bd74cb0dd6e26d3fe109eb
https://doi.org/10.2991/itoec-16.2016.17
https://doi.org/10.2991/itoec-16.2016.17