Shun Shiramatsu


2025

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A Career Interview Dialogue System using Large Language Model-based Dynamic Slot Generation
Ekai Hashimoto | Mikio Nakano | Takayoshi Sakurai | Shun Shiramatsu | Toshitake Komazaki | Shiho Tsuchiya
Proceedings of the 31st International Conference on Computational Linguistics

This study aims to improve the efficiency and quality of career interviews conducted by nursing managers. To this end, we have been developing a slot-filling dialogue system that engages in pre-interview to collect information on staff careers as a preparatory step before the actual interviews. Conventional slot-filling-based interview dialogue systems have limitations in the flexibility of information collection because the dialogue progresses based on predefined slot sets. We therefore propose a method that leverages large language models (LLMs) to dynamically generate new slots according to the flow of the dialogue, achieving more natural conversations. Furthermore, we incorporate abduction into the slot generation process to enable more appropriate and effective slot generation. To validate the effectiveness of the proposed method, we conducted experiments using a user simulator. The results suggest that the proposed method using abduction is effective in enhancing both information-collecting capabilities and the naturalness of the dialogue.

2011

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Agreement: How to Reach it? Defining Language Features Leading to Agreement in Discourse
Tatiana Zidraşco | Victoria Bobicev | Shun Shiramatsu | Tadachika Ozono | Toramatsu Shintani
Proceedings of the International Conference Recent Advances in Natural Language Processing 2011

2005

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Empirical Verification of Meaning-Game-based Generalization of Centering Theory with Large Japanese Corpus
Shun Shiramatsu | Kazunori Komatani | Takashi Miyata | Koichi Hashida | Hiroshi Okuno
Proceedings of the 19th Pacific Asia Conference on Language, Information and Computation