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Research led by Mihoko Sumida of HIAS GGR has been published in “Artificial Intelligence and Law”

Research led by Mihoko Sumida of HIAS GGR has been published in “Artificial Intelligence and Law”

2024/05/13

Findings from a new study led by Prof. Mihoko Sumida and researchers from the HIAS GGR Legal Innovation group have been published in Artificial Intelligence and Law.

Professor Sumida and her group have conducted experiments to develop a model for predicting the outcome of civil dispute resolution with Professor Takenobu Tokunaga and Assistant Professor Hiroaki Yamada of the School of Computing, Tokyo Institute of Technology, who are the leading AI researchers in the judicial field in Japan. This is the second result of the joint research.

Yamada, H., Tokunaga, T., Ohara, R. et al. Japanese tort-case dataset for rationale-supported legal judgment prediction. Artif Intell Law (2024). https://doi.org/10.1007/s10506-024-09402-0

    

Details on the first result can be found below:

The design of an annotation task for the Japanese Tort Case Dataset, which outputs a prediction of the success or failure of a tort when the claims of the plaintiff and defendant are entered, along with the adoption or rejection of each claim, was presented at the 2022 International Conference.

Hiroaki Yamada, Takenobu Tokunaga, Ryutaro Ohara, Keisuke Takeshita, Mihoko Sumida, Annotation Study of Japanese Judgments on Tort for Legal Judgment Prediction with Rationales, In The Proceedings of The 13th Language Resources and Evaluation Conference, LREC 2022, Marseille, France, June 21-23, 2022.

https://aclanthology.org/2022.lrec-1.83/

    

The Japanese Tort Case Dataset constructed from this study will soon be made publicly available at the Association for Language Resources.

https://www.gsk.or.jp/en/