Publications

Learning with an Open Horizon in Ever-Changing Dialogue Circumstances

C. Geishauser, C. van Niekerk, N. Lubis, H-C. Lin, M. Heck, S. Feng, B. Ruppik, R. Vukovic, and M. Gašić

Published in IEEE Transactions on Audio, Speech, and Language Processing

ConvLab-3: A Flexible Dialogue System Toolkit based on a Unified Format

Q. Zhu, C. Geishauser, H-C. Lin, C. van Niekerk, B. Peng, Z. Zhang, M. Heck, N. Lubis, D. Wan, X. Zhu, J. Gao, M. Gašić, and M. Huang

Published at EMNLP 23

Dynamic Dialogue Policy for Continual Reinforcement Learning

C. Geishauser, C. van Niekerk, H-C. Lin, N. Lubis, M. Heck, S. Feng and M. Gašić

Published at COLING 2022.

Robust Dialogue State Tracking with Weak Supervision and Sparse Data

M. Heck, N. Lubis, C. van Niekerk, S. Feng, C. Geishauser, H-C. Lin and M. Gašić

Published in TACL 2022.

Dialogue Evaluation with Offline Reinforcement Learning

N. Lubis, C. Geishauser, H-C. Lin, C. van Niekerk, M. Heck, S. Feng and M. Gašić

Published at SIGDIAL 2022.

GenTUS: Simulating User Behaviour and Language in Task-oriented Dialogues with Generative Transformers

H.-C. Lin, C. Geishauser, S. Feng, N. Lubis, C. van Niekerk, M. Heck and M.  Gašić

Published at SIGDIAL 2022.

EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue Systems

S. Feng, N. Lubis, C. Geishauser, H-C. Lin, M. Heck, C. van Niekerk and M. Gašić

Published at LREC 2022.

What Does The User Want? Information Gain for Hierarchical Dialogue Policy Optimisation

C. Geishauser, S. Hu, H.-C. Lin, N. Lubis, M. Heck, S. Feng, C. van Niekerk and M. Gašić

Published in IEEE ASRU 2021.

Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance

C. van Niekerk, A. Malinin, C. Geishauser, M. Heck, H-C. Lin, N. Lubis, S. Feng and M. Gašić

Published at EMNLP 2021.

TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking

M. Heck, C. van Niekerk, N. Lubis, C. Geishauser,  H-C. Lin, M. Moresi and M. Gašić

Published at SIGDIAL 2020