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Tourist Guidance Robot Based on HyperCLOVA (2210.10400v1)
Published 19 Oct 2022 in cs.CL
Abstract: This paper describes our system submitted to Dialogue Robot Competition 2022. Our proposed system is a combined model of rule-based and generation-based dialog systems. The system utilizes HyperCLOVA, a Japanese foundation model, not only to generate responses but also summarization, search information, etc. We also used our original speech recognition system, which was fine-tuned for this dialog task. As a result, our system ranked second in the preliminary round and moved on to the finals.
- Takato Yamazaki (5 papers)
- Katsumasa Yoshikawa (3 papers)
- Toshiki Kawamoto (3 papers)
- Masaya Ohagi (4 papers)
- Tomoya Mizumoto (10 papers)
- Shuta Ichimura (2 papers)
- Yusuke Kida (10 papers)
- Toshinori Sato (4 papers)