| Learning a Game Commentary Generator with Grounded Move Expressions H Kameko, S Mori, Y Tsuruoka 2015 IEEE Conference on Computational Intelligence and Games, 2015 | 23 | 2015 |
| A Japanese chess commentary corpus S Mori, J Richardson, A Ushiku, T Sasada, H Kameko, Y Tsuruoka Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 16 | 2016 |
| 対数線形言語モデルを用いた将棋解説文の自動生成 亀甲博貴， 三輪誠， 鶴岡慶雅， 森信介， 近山隆 情報処理学会論文誌 55 (11), 2431-2440, 2014 | 16 | 2014 |
| Structure-aware procedural text generation from an image sequence T Nishimura, A Hashimoto, Y Ushiku, H Kameko, Y Yamakata, S Mori IEEE Access 9, 2125-2141, 2020 | 15 | 2020 |
| State-aware video procedural captioning T Nishimura, A Hashimoto, Y Ushiku, H Kameko, S Mori Proceedings of the 29th ACM International Conference on Multimedia, 1766-1774, 2021 | 12 | 2021 |
| Game state retrieval with keyword queries A Ushiku, S Mori, H Kameko, Y Tsuruoka Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 11 | 2017 |
| 将棋解説文のグラウンディングのための指し手表現と局面状態の対応付け 亀甲博貴， 森信介， 鶴岡慶雅 ゲームプログラミングワークショップ 2014 論文集 2014, 202-209, 2014 | 9 | 2014 |
| Annotating modality expressions and event factuality for a Japanese chess commentary corpus S Matsuyoshi, H Kameko, Y Murawaki, S Mori Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 7 | 2018 |
| Egocentric biochemical video-and-language dataset T Nishimura, K Sakoda, A Hashimoto, Y Ushiku, N Tanaka, F Ono, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 5 | 2021 |
| Can Symbol Grounding Improve Low-Level NLP? Word Segmentation as a Case Study H Kameko, S Mori, Y Tsuruoka Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 5 | 2015 |
| ロジスティック回帰による言語モデルを用いた将棋解説文の自動生成 亀甲博貴， 三輪誠， 鶴岡慶雅， 森信介， 近山隆 言語処理学会第 20 回年次大会, 943-946, 2014 | 3 | 2014 |
| Recipe Generation from Unsegmented Cooking Videos T Nishimura, A Hashimoto, Y Ushiku, H Kameko, S Mori arXiv preprint arXiv:2209.10134, 2022 | 2 | 2022 |
| Visual Recipe Flow: A Dataset for Learning Visual State Changes of Objects with Recipe Flows K Shirai, A Hashimoto, T Nishimura, H Kameko, S Kurita, Y Ushiku, S Mori arXiv preprint arXiv:2209.05840, 2022 | 2 | 2022 |
| Deep reinforcement learning with hidden layers on future states H Kameko, J Suzuki, N Mizukami, Y Tsuruoka Computer Games: 6th Workshop, CGW 2017, Held in Conjunction with the 26th …, 2018 | 2 | 2018 |
| Inference of absolute time value from temporal expressions J Sung, S Mori, H Kameko, A Kubo, T Sekino 2021 IEEE International Conference on Big Data (Big Data), 2273-2280, 2021 | 1 | 2021 |
| Deep Reinfocement Learning for Sparse Reward Environments N MIZUKAMI, JUN SUZUKI, H KAMEKO, Y TSURUOKA 情報処理学会論文誌ジャーナル (Web) 60 (3), 956-966, 2019 | 1 | 2019 |
| Japanese Event Factuality Analysis in the Era of BERT H Kameko, Y Murawaki, S Matsuyoshi, S Mori IEEE Access, 2023 | | 2023 |
| Towards Flow Graph Prediction of Open-Domain Procedural Texts K Shirai, H Kameko, S Mori arXiv preprint arXiv:2305.19497, 2023 | | 2023 |
| Cross-modal Representation Learning for Understanding Manufacturing Procedure A Hashimoto, T Nishimura, Y Ushiku, H Kameko, S Mori International Conference on Human-Computer Interaction, 44-57, 2022 | | 2022 |
| Image Description Dataset for Language Learners K Tanaka, T Nishimura, H Nanjo, K Shirai, H Kameko, M Dantsuji Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022 | | 2022 |
Yoshimasa TsuruokaThe University of Tokyo確認したメール アドレス: logos.t.u-tokyo.ac.jp
