| Apparatus and system for speech intent recognition SJ Lee, CJ Lee, GG Lee US Patent 9,767,710, 2017 | 301 | 2017 |
| Composite task-completion dialogue policy learning via hierarchical deep reinforcement learning B Peng, X Li, L Li, J Gao, A Celikyilmaz, S Lee, KF Wong arXiv preprint arXiv:1704.03084, 2017 | 236 | 2017 |
| On the effectiveness of robot-assisted language learning S Lee, H Noh, J Lee, K Lee, GG Lee, S Sagong, M Kim ReCALL 23 (1), 25-58, 2011 | 226 | 2011 |
| Structured Discriminative Model For Dialog State Tracking S Lee Proceedings of the 13th Annual Meeting of the Special Interest Group on …, 2013 | 182 | 2013 |
| Method and system for facilitating a guided dialog between a user and a conversational agent S Lee, A Stent US Patent 10,403,273, 2019 | 170 | 2019 |
| Convlab: Multi-domain end-to-end dialog system platform S Lee, Q Zhu, R Takanobu, X Li, Y Zhang, Z Zhang, J Li, B Peng, X Li, ... arXiv preprint arXiv:1904.08637, 2019 | 111 | 2019 |
| Jointly optimizing diversity and relevance in neural response generation X Gao, S Lee, Y Zhang, C Brockett, M Galley, J Gao, B Dolan arXiv preprint arXiv:1902.11205, 2019 | 93 | 2019 |
| Onenet: Joint domain, intent, slot prediction for spoken language understanding YB Kim, S Lee, K Stratos 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017 | 93 | 2017 |
| The eighth dialog system technology challenge S Kim, M Galley, C Gunasekara, S Lee, A Atkinson, B Peng, H Schulz, ... arXiv preprint arXiv:1911.06394, 2019 | 73 | 2019 |
| Recipe For Building Robust Spoken Dialog State Trackers: Dialog State Tracking Challenge System Description S Lee, M Eskenazi Proceedings of the 13th Annual Meeting of the Special Interest Group on …, 2013 | 72 | 2013 |
| Zero-shot adaptive transfer for conversational language understanding S Lee, R Jha Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6642-6649, 2019 | 70 | 2019 |
| Structuring latent spaces for stylized response generation X Gao, Y Zhang, S Lee, M Galley, C Brockett, J Gao, B Dolan arXiv preprint arXiv:1909.05361, 2019 | 55 | 2019 |
| Cognitive effects of robot-assisted language learning on oral skills S Lee, H Noh, J Lee, K Lee, GG Lee Proceedings of the Interspeech 2010 Workshop on Second Language Studies …, 2010 | 46 | 2010 |
| Toward continual learning for conversational agents S Lee arXiv preprint arXiv:1712.09943, 2017 | 43 | 2017 |
| Consistent dialogue generation with self-supervised feature learning Y Zhang, X Gao, S Lee, C Brockett, M Galley, J Gao, B Dolan arXiv preprint arXiv:1903.05759, 2019 | 36 | 2019 |
| Guided dialog policy learning without adversarial learning in the loop Z Li, S Lee, B Peng, J Li, J Kiseleva, M de Rijke, S Shayandeh, J Gao arXiv preprint arXiv:2004.03267, 2020 | 34 | 2020 |
| Results of the multi-domain task-completion dialog challenge J Li, B Peng, S Lee, J Gao, R Takanobu, Q Zhu, M Huang, H Schulz, ... Proceedings of the 34th AAAI Conference on Artificial Intelligence, Eighth …, 2020 | 32 | 2020 |
| Incremental dialog processing in a task-oriented dialog. F Ghigi, M Eskenazi, MI Torres, S Lee Interspeech, 308-312, 2014 | 32 | 2014 |
| AugNLG: Few-shot natural language generation using self-trained data augmentation X Xu, G Wang, YB Kim, S Lee arXiv preprint arXiv:2106.05589, 2021 | 31 | 2021 |
| Task lineages: Dialog state tracking for flexible interaction S Lee, A Stent Proceedings of the 17th Annual Meeting of the Special Interest Group on …, 2016 | 30 | 2016 |
gary geunbae leeprofessor of computer science and engineering, postechBestätigte E-Mail-Adresse bei postech.ac.kr
