60件 （「Artificial Intelligence」）

Emotion Judgement Method Based on Knowledge Base and Association Mechanism for Colloquial Expression 論文

Seiji Tsuchiya・Motoyuki Suzuki・Misako Imono・Eriko Yoshimura・Hirokazu Watabe ·2014-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　29(1)　pp. 11-20

doi:10.1527/tjsai.29.11

Fundamental Vocabulary Selection Based on Word Familiarity 論文

Hiroshi Sato・Kaname Kasahara・Tomoko Kanasugi・Shigeaki Amano ·2004-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　19　pp. 502-510

doi:10.1527/tjsai.19.502

Legal Prompting: Teaching a Language Model to Think Like a Lawyer プレプリント

Fangyi Yu・Lee Quartey・Frank Schilder ·2022-12-02 ·『arXiv (Cornell University)』

doi:10.48550/arxiv.2212.01326

Japanese Tone Structure 論文

Janet B. Pierrehumbert・Mary E. Beckman ·1988-01-01

openalex.org

BunCho: AI Supported Story Co-Creation via Unsupervised Multitask Learning to Increase Writers’ Creativity in Japanese 論文

Hiroyuki Osone・Junli Lu・Yoichi Ochiai ·2021-05-08 ·pp. 1-10

doi:10.1145/3411763.3450391

A System to Estimate an Impression Conveyed by Onomatopoeia 論文

Yuichiro Shimizu・Ryuichi Doizaki・Maki Sakamoto ·2014-01-01 ·『Transactions of the Japanese Society for Artificial Intelligence』　29(1)　pp. 41-52

doi:10.1527/tjsai.29.41

Evaluating ChatGPT in Qualitative Thematic Analysis With Human Researchers in the Japanese Clinical Context and Its Cultural Interpretation Challenges: Comparative Qualitative Study (Preprint) 論文

Kota Sakaguchi・Reiko Sakama・Takashi Watari ·2025-01-23 ·『Journal of Medical Internet Research』　27　pp. e71521

doi:10.2196/preprints.71521

Can AI-Generated Clinical Vignettes in Japanese Be Used Medically and Linguistically? 論文

Yasutaka Yanagita・Daiki Yokokawa・Shun Uchida・Yu Li・Takanori Uehara・Masatomi Ikusaka ·2024-03-02 ·『Journal of General Internal Medicine』　39　pp. 3282-3289

doi:10.1007/s11606-024-09031-y

Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations プレプリント

Jungo Kasai・Yuhei Kasai・Keisuke Sakaguchi・Yutaro Yamada・Dragomir Radev ·2023-03-31 ·『arXiv (Cornell University)』

doi:10.48550/arxiv.2303.18027

Accuracy of ChatGPT on Medical Questions in the National Medical Licensing Examination in Japan: Evaluation Study 論文

Yasutaka Yanagita・Daiki Yokokawa・Shun Uchida・Junsuke Tawara・Masatomi Ikusaka ·2023-10-03 ·『JMIR Formative Research』　7　pp. e48023-e48023

doi:10.2196/48023