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User-adaptive Tourist Information Dialogue System with Yes/No Classifier and Sentiment Estimator
December 21, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Ryo Yanagimoto, Yunosuke Kubo, Miki Oshio, Mikio Nakano, Kenta Yamamoto, Kazunori Komatani
arXiv ID
2312.13787
Category
cs.HC: Human-Computer Interaction
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We introduce our system developed for Dialogue Robot Competition 2023 (DRC2023). First, rule-based utterance selection and utterance generation using a large language model (LLM) are combined. We ensure the quality of system utterances while also being able to respond to unexpected user utterances. Second, dialogue flow is controlled by considering the results of the BERT-based yes/no classifier and sentiment estimator. These allow the system to adapt state transitions and sightseeing plans to the user.
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