Search Results for author: Michimasa Inaba

Found 8 papers, 1 papers with code

Collection and Analysis of Travel Agency Task Dialogues with Age-Diverse Speakers

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.

Can Large Language Models be Used to Provide Psychological Counselling? An Analysis of GPT-4-Generated Responses Using Role-play Dialogues

no code implementations20 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.

SumRec: A Framework for Recommendation using Open-Domain Dialogue

1 code implementation7 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.

Language Modelling Large Language Model

Estimating User Interest from Open-Domain Dialogue

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.

Speech Recognition

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