Katsumasa Yoshikawa


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An Open-Domain Avatar Chatbot by Exploiting a Large Language Model
Takato Yamazaki | Tomoya Mizumoto | Katsumasa Yoshikawa | Masaya Ohagi | Toshiki Kawamoto | Toshinori Sato
Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue

With the ambition to create avatars capable of human-level casual conversation, we developed an open-domain avatar chatbot, situated in a virtual reality environment, that employs a large language model (LLM). Introducing the LLM posed several challenges for multimodal integration, such as developing techniques to align diverse outputs and avatar control, as well as addressing the issue of slow generation speed. To address these challenges, we integrated various external modules into our system. Our system is based on the award-winning model from the Dialogue System Live Competition 5. Through this work, we hope to stimulate discussions within the research community about the potential and challenges of multimodal dialogue systems enhanced with LLMs.


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A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task
Hiroshi Kanayama | Masayasu Muraoka | Katsumasa Yoshikawa
Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

This paper presents our system submitted for the CoNLL 2017 Shared Task, “Multilingual Parsing from Raw Text to Universal Dependencies.” We ran the system for all languages with our own fully pipelined components without relying on re-trained baseline systems. To train the dependency parser, we used only the universal part-of-speech tags and distance between words, and applied deterministic rules to assign dependency labels. The simple and delexicalized models are suitable for cross-lingual transfer approaches and a universal language model. Experimental results show that our model performed well in some metrics and leads discussion on topics such as contribution of each component and on syntactic similarities among languages.


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Identifying Temporal Relations by Sentence and Document Optimizations
Katsumasa Yoshikawa | Masayuki Asahara | Ryu Iida
Proceedings of COLING 2012: Posters

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Sentence Compression with Semantic Role Constraints
Katsumasa Yoshikawa | Ryu Iida | Tsutomu Hirao | Manabu Okumura
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)


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Jointly Extracting Japanese Predicate-Argument Relation with Markov Logic
Katsumasa Yoshikawa | Masayuki Asahara | Yuji Matsumoto
Proceedings of 5th International Joint Conference on Natural Language Processing


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Jointly Identifying Temporal Relations with Markov Logic
Katsumasa Yoshikawa | Sebastian Riedel | Masayuki Asahara | Yuji Matsumoto
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP