I am a researcher at Kyoto University, where I work on NLP research. In March 2022, I received my PhD in informatics from Kyoto University. Feel free to send me an email if you want to reach out.
Work on building knowledge-based dialogue systems.
Worked on classifying recipe data and normalizing ingredient name.
Worked on benchmarking a graph database.
Worked on developing a visualization tool for brain-inspired cognitive architectures.
Tatsuro Inaba, Hirokazu Kiyomaru, Fei Cheng, and Sadao Kurohashi.
MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting
In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, July 2023.
Nobuhiro Ueda, Kazumasa Omura, Takashi Kodama, Hirokazu Kiyomaru, Yugo Murawaki, Daisuke Kawahara and Sadao Kurohashi.
KWJA: A Unified Japanese Analyzer Based on Foundation Models
In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL): System Demonstrations, Toronto, Canada, July 2023.
Takashi Kodama, Hirokazu Kiyomaru, Yin Jou Huang, Taro Okahisa, and Sadao Kurohashi.
Is a Knowledge-based Response Engaging?: An Analysis on Knowledge-Grounded Dialogue with Information Source Annotation
In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL): Student Research Workshop, Toronto, Canada, July 2023.
Hirokazu Kiyomaru and Sadao Kurohashi.
Minimally-Supervised Joint Learning of Event Volitionality and Subject Animacy Classification
In Proceedings of the AAAI Conference on Artificial Intelligence, 36(10), pp. 10921-10929, Online, February 2022.
[paper]
Hirokazu Kiyomaru and Sadao Kurohashi.
Contextualized and Generalized Sentence Representations by Contrastive Self-Supervised Learning: A Case Study on Discourse Relation Analysis.
In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), pp. 5578-5584, Online, June 2021.
[paper]
Akiko Aizawa, Frederic Bergeron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, and Ying Zhong.
A System for Worldwide COVID-19 Information Aggregation.
In Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, Online, December 2020.
[paper]
Hirokazu Kiyomaru, Kazumasa Omura, Yugo Murawaki, Daisuke Kawahara and Sadao Kurohashi.
Diversity-aware Event Prediction based on a Conditional Variational Autoencoder with Reconstruction.
In Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing (COIN), pp. 113-122, Hong Kong, China, November 2019.
Katsuyoshi Yamagami, Hirokazu Kiyomaru and Sadao Kurohashi.
Knowledge-based Dialog Approach for Exploring User's Intention.
In Proceedings of FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction, pp. 53-56, Stockholm, Sweden, 2018.
[paper]
Naoki Otani, Hirokazu Kiyomaru, Daisuke Kawahara and Sadao Kurohashi.
Cross-lingual Knowledge Projection Using Machine Translation and Target-side Knowledge Base Completion.
In Proceedings of the 27th International Conference on Computational Linguistics (COLING), pp. 1508–1520, Santa Fe, New Mexico, US, 2018.
Hirokazu Kiyomaru, Masahiko Osawa and Hiroshi Yamakawa.
BiCAmon: Activity monitoring tool on 3D connecome structures for various cognitive architectures.
In Proceedings of Neuroinformatics 2016, pp 49-53, Reading, United Kingdom, 2016.
[abstract]