| 2026 | WACV | Training-free Conditional Image Embedding Framework Leveraging Large Vision Language Models. | Masayuki Kawarada, Kosuke Yamada, Antonio Tejero-de-Pablos, Naoto Inoue |
| 2025 | ACL | Semantic Frame Induction from a Real-World Corpus. | Shogo Tsujimoto, Kosuke Yamada, Ryohei Sasano |
| 2025 | EMNLP | FrameEOL: Semantic Frame Induction using Causal Language Models. | Chihiro Yano, Kosuke Yamada, Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda |
| 2023 | ACL | Building a Buzzer-quiz Answering System. | Naoya Sugiura, Kosuke Yamada, Ryohei Sasano, Koichi Takeda, Katsuhiko Toyama |
| 2023 | ACL | Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction. | Kosuke Yamada, Ryohei Sasano, Koichi Takeda |
| 2023 | EACL | Semantic Frame Induction with Deep Metric Learning. | Kosuke Yamada, Ryohei Sasano, Koichi Takeda |
| 2023 | EMNLP | Transformer-based Live Update Generation for Soccer Matches from Microblog Posts. | Masashi Oshika, Kosuke Yamada, Ryohei Sasano, Koichi Takeda |
| 2021 | ACL | Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering. | Kosuke Yamada, Ryohei Sasano, Koichi Takeda |
| 2021 | ACL | Verb Sense Clustering using Contextualized Word Representations for Semantic Frame Induction. | Kosuke Yamada, Ryohei Sasano, Koichi Takeda |
| 2021 | EMNLP | Transformer-based Lexically Constrained Headline Generation. | Kosuke Yamada, Yuta Hitomi, Hideaki Tamori, Ryohei Sasano, Naoaki Okazaki, Kentaro Inui, Koichi Takeda |
| 2020 | EMNLP | Sequential Span Classification with Neural Semi-Markov CRFs for Biomedical Abstracts. | Kosuke Yamada, Tsutomu Hirao, Ryohei Sasano, Koichi Takeda, Masaaki Nagata |
| 2019 | ACL | Incorporating Textual Information on User Behavior for Personality Prediction. | Kosuke Yamada, Ryohei Sasano, Koichi Takeda |