Gijutsu-Hyohron Co., Ltd. (2024/9)
Introduction to Large Language Models II (in Japanese) [link] [amazon]
Ikuya Yamada, Masatoshi Suzuki, Sosuke Nishikawa, Kazuki Fujii, Kosuke Yamada, Ryokan Ri
Gijutsu-Hyohron Co., Ltd. (2023/7)
Introduction to Large Language Models (in Japanese) [link] [amazon]
Ikuya Yamada, Masatoshi Suzuki, Kosuke Yamada, Ryokan Ri
Journal of Information Processing, Information Processing Society of Japan, Vol.X, No.X, pp.X-X, 2024
Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction (in Japanese) [to appear]
Kosuke Yamada, Ryohei Sasano, Koichi Takeda
Journal of Natural Language Processing, The Association for Natural Language Processing, Vol.30, No.4, pp.1130-1150, 2023
Semantic Frame Induction with Deep Metric Learning (in Japanese) [link]
Kosuke Yamada, Ryohei Sasano, Koichi Takeda
Journal of Natural Language Processing, The Association for Natural Language Processing, Vol.29, No.2, pp.395-415, 2022 Best Paper Award
Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering (in Japanese) [link]
Kosuke Yamada, Ryohei Sasano, Koichi Takeda
Transactions of the Japanese Society for Artificial Intelligence: AI, The Japanese Society for Artificial Intelligence, Vol.35, No.4, pp.B-K22_1-12, 2020
Incorporating Textual Information on User Behavior for Personality Prediction (in Japanese) [link]
Kosuke Yamada, Ryohei Sasano, Koichi Takeda
EMNLP 2023 (2023/12)
Transformer-based Live Update Generation for Soccer Matches from Tweets [link]
Masashi Oshika, Kosuke Yamada, Ryohei Sasano, and Koichi Takeda
ACL SRW 2023 (2023/7)
Building a Buzzer-quiz Answering System [link]
Naoya Sugiura, Kosuke Yamada, Ryohei Sasano, Koichi Takeda, and Katsuhiko Toyama
ACL 2023 Findings (2023/7)
Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction [link]
Kosuke Yamada, Ryohei Sasano, and Koichi Takeda
EACL 2023 (2023/5)
Semantic Frame Induction with Deep Metric Learning [link]
Kosuke Yamada, Ryohei Sasano, and Koichi Takeda
EMNLP 2021 (2021/11)
Transformer-based Lexically Constrained Headline Generation [link]
Kosuke Yamada, Yuta Hitomi, Hideaki Tamori, Ryohei Sasano, Naoaki Okazaki, Kentaro Inui, and Koichi Takeda
ACL-IJCNLP 2021 (2021/8)
Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering [link]
Kosuke Yamada, Ryohei Sasano, and Koichi Takeda
ACL-IJCNLP 2021 Findings (2021/8)
Verb Sense Clustering using Contextualized Word Representations for Semantic Frame Induction [link]
Kosuke Yamada, Ryohei Sasano, and Koichi Takeda
EMNLP 2020 Findings (2020/11)
Sequential Span Classification with Neural Semi-Markov CRFs for Biomedical Abstracts [link]
Kosuke Yamada, Tsutomu Hirao, Ryohei Sasano, Koichi Takeda, and Masaaki Nagata
ACL 2019 Student Research Workshop (2019/7)
Incorporating Textual Information on User Behavior for Personality Prediction [link]
Kosuke Yamada, Ryohei Sasano, and Koichi Takeda
The 37th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI) (2023/6) JSAI Annual Conference Award
Generating live sports updates from Twitter using T5 (in Japanese) [link]
Masashi Oshika, Kosuke Yamada, Ryohei Sasano, and Koichi Takeda
The 37th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI) (2023/6)
Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction (in Japanese) [link]
Kosuke Yamada, Ryohei Sasano, and Koichi Takeda
29th Annual Meeting of the Language Processing Society of Japan (NLP) (2023/3)
Constructing Buzzer Quiz Answering System and Estimating Correct Answer Rate in Process of Reading Quiz (in Japanese) [link]
Naoya Sugiura, Kosuke Yamada, Ryohei Sasano, and Koichi Takeda
29th Annual Meeting of the Language Processing Society of Japan (NLP) (2023/3)
Semantic Frame Induction of Japanese Verb with Deep Metric Learning (in Japanese) [link]
Chihiro Yano, Kosuke Yamada, Ryohei Sasano, and Koichi Takeda
29th Annual Meeting of the Language Processing Society of Japan (NLP) (2023/3)
Semantic Frame Induction with Deep Metric Learning (in Japanese) [link] [link]
Kosuke Yamada, Ryohei Sasano, and Koichi Takeda
27th Annual Meeting of the Language Processing Society of Japan (NLP) (2021/3) Committee Special Award, Sponsor Award
Headline Generation including Given Phrases (in Japanese) [link]
Kosuke Yamada, Yuta Hitomi, Hideaki Tamori, Naoaki Okazaki, and Kentaro Inui
27th Annual Meeting of the Language Processing Society of Japan (NLP) (2021/3)
Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering (in Japanese) [link]
Kosuke Yamada, Ryohei Sasano, and Koichi Takeda
244th meeting of Special Interest Group of Natural Language Processing (IPSJ-SIGNL) (2020/7)
Investigating the Usefulness of Contextualized Word Representations in Semantic Frame Induction (in Japanese) [link]
Kosuke Yamada, Ryohei Sasano, and Koichi Takeda
26th Annual Meeting of the Language Processing Society of Japan (NLP) (2020/3)
Structural Analysis with Neural Semi-Markov CRFs for Abstracts (in Japanese) [link]
Kosuke Yamada, Tsutomu Hirao, Ryohei Sasano, Koichi Takeda, and Masaaki Nagata
25th Annual Meeting of the Language Processing Society of Japan (NLP) (2019/3)
User Personality Prediction Using Similarity Behavioral Properties in Social Media (in Japanese) [link]
Kosuke Yamada, Ryohei Sasano, and Koichi Takeda
19th Symposium of Young Researcher Association for NLP Studies (YANS) (2024/9)
Unsupervised Conditional Text Embeddings Acquisition (in Japanese)
Kosuke Yamada, Peinan Zhang
Ai Robot Science Symposium 2023 (2023/7)
Automatic Construction of Semantic Frame Knowledge as Foundational World Knowledge (in Japanese)
Kosuke Yamada, Ryohei Sasano, Koichi Takeda
Journal of Natural Language Processing, The Association for Natural Language Processing, 2023 (2023/6)
Explanation of "Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering" (in Japanese) [link]
Kosuke Yamada
Journal of Natural Language Processing, The Association for Natural Language Processing, Vol.28, No.4, pp.1325-1330, 2021 (2021/12)
Semantic Frame Induction of Verbs using Contextualized Word Embedding (in Japanese) [link]
Kosuke Yamada