| Word rotator's distance S Yokoi, R Takahashi, R Akama, J Suzuki, K Inui arXiv preprint arXiv:2004.15003, 2020 | 62 | 2020 |
| Generating stylistically consistent dialog responses with transfer learning R Akama, K Inada, N Inoue, S Kobayashi, K Inui Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 32 | 2017 |
| Dialogue system live competition: identifying problems with dialogue systems through live event R Higashinaka, K Funakoshi, M Inaba, Y Tsunomori, T Takahashi, ... Increasing Naturalness and Flexibility in Spoken Dialogue Interaction: 10th …, 2021 | 25 | 2021 |
| Evaluating dialogue generation systems via response selection S Sato, R Akama, H Ouchi, J Suzuki, K Inui arXiv preprint arXiv:2004.14302, 2020 | 24 | 2020 |
| Filtering noisy dialogue corpora by connectivity and content relatedness R Akama, S Yokoi, J Suzuki, K Inui arXiv preprint arXiv:2004.14008, 2020 | 20 | 2020 |
| Unsupervised Learning of Style-sensitive Word Vectors R Akama, K Watanabe, S Yokoi, S Kobayashi, K Inui Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 12 | 2018 |
| Target-guided open-domain conversation planning Y Kishinami, R Akama, S Sato, R Tokuhisa, J Suzuki, K Inui arXiv preprint arXiv:2209.09746, 2022 | 9 | 2022 |
| Word rotator’s distance: Decomposing vectors gives better representations S Yokoi, R Takahashi, R Akama, J Suzuki, K Inui arXiv preprint arXiv:2004.15003, 2020 | 5 | 2020 |
| Aoba_v3 bot: a multimodal chatbot system combining rules and various response generation models S Moriya, D Shiono, R Fujihara, Y Kishinami, S Kimura, S Sone, R Akama, ... Advanced Robotics 37 (21), 1392-1405, 2023 | 2 | 2023 |
| Bipartite-play dialogue collection for practical automatic evaluation of dialogue systems S Sato, Y Kishinami, H Sugiyama, R Akama, R Tokuhisa, J Suzuki arXiv preprint arXiv:2211.10596, 2022 | 2 | 2022 |
| N-best response-based analysis of contradiction-awareness in neural response generation models S Sato, R Akama, H Ouchi, R Tokuhisa, J Suzuki, K Inui arXiv preprint arXiv:2208.02578, 2022 | 1 | 2022 |
| A Multimodal Dialogue System to Lead Consensus Building with Emotion-Displaying S Nozue, Y Nakano, S Moriya, T Ariyama, K Kokuta, S Xie, K Sato, S Sone, ... Proceedings of the 25th Annual Meeting of the Special Interest Group on …, 2024 | | 2024 |
| Detecting Response Generation Not Requiring Factual Judgment R Kamei, D Shiono, R Akama, J Suzuki arXiv preprint arXiv:2406.09702, 2024 | | 2024 |
| A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems S Sato, R Akama, J Suzuki, K Inui arXiv preprint arXiv:2403.12500, 2024 | | 2024 |
| Data-oriented Approaches for Improving Neural Dialogue Generation R Akama Tohoku University, 2021 | | 2021 |
| The dialogue system live competition 3 R Higashinaka, K Funakoshi, T Takahashi, M Inaba, Y Tsunomori, ... JSAI Technical Report, SIG-SLUD 90, 23, 2020 | | 2020 |
| Generating Candidate Responses for Supporting Human-to-human Communication of Quality of Life R AKAMA, R TOKUHISA, K INUI 自然言語処理 26 (3), 579-612, 2019 | | 2019 |
Kentaro InuiMBZUAI, Tohoku University, RIKENVerified email at mbzuai.ac.ae
