no code implementations • LREC 2022 • Michimasa Inaba, Yuya Chiba, Ryuichiro Higashinaka, Kazunori Komatani, Yusuke Miyao, Takayuki Nagai
This paper provides details of the dialogue task, the collection procedure and annotations, and the analysis on the characteristics of the dialogues and facial expressions focusing on the age of the speakers.
no code implementations • 20 Feb 2024 • Michimasa Inaba, Mariko Ukiyo, Keiko Takamizo
To determine the feasibility of a dialogue system in real-world counseling scenarios, third-party counselors evaluated the appropriateness of responses from human counselors and those generated by GPT-4 in identical contexts in role-play dialogue data.
1 code implementation • 7 Feb 2024 • Ryutaro Asahara, Masaki Takahashi, Chiho Iwahashi, Michimasa Inaba
Chat dialogues contain considerable useful information about a speaker's interests, preferences, and experiences. Thus, knowledge from open-domain chat dialogue can be used to personalize various systems and offer recommendations for advanced information. This study proposed a novel framework SumRec for recommending information from open-domain chat dialogue. The study also examined the framework using ChatRec, a newly constructed dataset for training and evaluation.
no code implementations • 20 Dec 2023 • Hiroki Onozeki, Zhiyang Qi, Kazuma Akiyama, Ryutaro Asahara, Takumasa Kaneko, Michimasa Inaba
This paper describes our dialogue system submitted to Dialogue Robot Competition 2023.
no code implementations • WS 2019 • Yoshinobu Kano, Claus Aranha, Michimasa Inaba, Fujio Toriumi, Hirotaka Osawa, Daisuke Katagami, Takashi Otsuki, Issei Tsunoda, Shoji Nagayama, Dol{\c{c}}a Tellols, Yu Sugawara, Yohei Nakata
no code implementations • WS 2018 • Michimasa Inaba, Kenichi Takahashi
Dialogue personalization is an important issue in the field of open-domain chat-oriented dialogue systems.
no code implementations • LREC 2016 • Ryuichiro Higashinaka, Kotaro Funakoshi, Yuka Kobayashi, Michimasa Inaba
Dialogue breakdown detection is a promising technique in dialogue systems.