| Trippy: A triple copy strategy for value independent neural dialog state tracking M Heck, C van Niekerk, N Lubis, C Geishauser, HC Lin, M Moresi, ... arXiv preprint arXiv:2005.02877, 2020 | 233 | 2020 |
| Eliciting Positive Emotion through Affect-Sensitive Dialogue Response Generation: A Neural Network Approach N Lubis, S Sakti, K Yoshino, S Nakamura AAAI Conference on Artificial Intelligence, 5293-5900, 2018 | 101 | 2018 |
| Positive emotion elicitation in chat-based dialogue systems N Lubis, S Sakti, K Yoshino, S Nakamura IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (4), 866-877, 2019 | 54 | 2019 |
| Domain-independent user simulation with transformers for task-oriented dialogue systems H Lin, N Lubis, S Hu, C van Niekerk, C Geishauser, M Heck, S Feng, ... arXiv preprint arXiv:2106.08838, 2021 | 45 | 2021 |
| ChatGPT for zero-shot dialogue state tracking: A solution or an opportunity? M Heck, N Lubis, B Ruppik, R Vukovic, S Feng, C Geishauser, HC Lin, ... arXiv preprint arXiv:2306.01386, 2023 | 44 | 2023 |
| LAVA: Latent action spaces via variational auto-encoding for dialogue policy optimization N Lubis, C Geishauser, M Heck, H Lin, M Moresi, C van Niekerk, M Gašić arXiv preprint arXiv:2011.09378, 2020 | 40 | 2020 |
| Emowoz: A large-scale corpus and labelling scheme for emotion recognition in task-oriented dialogue systems S Feng, N Lubis, C Geishauser, H Lin, M Heck, C van Niekerk, M Gašić arXiv preprint arXiv:2109.04919, 2021 | 37 | 2021 |
| Convlab-3: A flexible dialogue system toolkit based on a unified data format Q Zhu, C Geishauser, H Lin, C van Niekerk, B Peng, Z Zhang, M Heck, ... arXiv preprint arXiv:2211.17148, 2022 | 23 | 2022 |
| GenTUS: Simulating user behaviour and language in task-oriented dialogues with generative transformers H Lin, C Geishauser, S Feng, N Lubis, C van Niekerk, M Heck, M Gašić arXiv preprint arXiv:2208.10817, 2022 | 23 | 2022 |
| Dynamic dialogue policy for continual reinforcement learning C Geishauser, C van Niekerk, N Lubis, M Heck, HC Lin, S Feng, M Gašić arXiv preprint arXiv:2204.05928, 2022 | 22 | 2022 |
| Emotion and its triggers in human spoken dialogue: Recognition and analysis N Lubis, S Sakti, G Neubig, T Toda, A Purwarianti, S Nakamura Situated Dialog in Speech-Based Human-Computer Interaction, 103-110, 2016 | 20 | 2016 |
| Robust dialogue state tracking with weak supervision and sparse data M Heck, N Lubis, C Niekerk, S Feng, C Geishauser, HC Lin, M Gašić Transactions of the Association for Computational Linguistics 10, 1175-1192, 2022 | 18 | 2022 |
| Construction and analysis of Indonesian emotional speech corpus N Lubis, D Lestari, A Purwarianti, S Sakti, S Nakamura 2014 17th Oriental Chapter of the International Committee for the Co …, 2014 | 17 | 2014 |
| Emous: Simulating user emotions in task-oriented dialogues HC Lin, S Feng, C Geishauser, N Lubis, C van Niekerk, M Heck, B Ruppik, ... Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 14 | 2023 |
| Affect recognition in conversations using large language models S Feng, G Sun, N Lubis, W Wu, C Zhang, M Gašić arXiv preprint arXiv:2309.12881, 2023 | 12 | 2023 |
| Uncertainty measures in neural belief tracking and the effects on dialogue policy performance C van Niekerk, A Malinin, C Geishauser, M Heck, H Lin, N Lubis, S Feng, ... arXiv preprint arXiv:2109.04349, 2021 | 12 | 2021 |
| Construction of Japanese audio-visual emotion database and its application in emotion recognition N Lubis, R Gomez, S Sakti, K Nakamura, K Yoshino, S Nakamura, ... Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 10 | 2016 |
| Emotion recognition on Indonesian television talk shows N Lubis, D Lestari, A Purwarianti, S Sakti, S Nakamura 2014 IEEE Spoken Language Technology Workshop (SLT), 466-471, 2014 | 10 | 2014 |
| A study of social-affective communication: Automatic prediction of emotion triggers and responses in television talk shows N Lubis, S Sakti, G Neubig, K Yoshino, T Toda, S Nakamura 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 9 | 2015 |
| Knowing what you know: Calibrating dialogue belief state distributions via ensembles C van Niekerk, M Heck, C Geishauser, HC Lin, N Lubis, M Moresi, ... arXiv preprint arXiv:2010.02586, 2020 | 8 | 2020 |
Michael HeckHeinrich Heine University Düsseldorf, GermanyDirección de correo verificada de hhu.de