Christian Geishauser

According to our database, Christian Geishauser authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dense Rewards and Continual Reinforcement Learning for Task-oriented Dialogue Policies.

Christian Geishauser

PhD thesis, 2024

Learning With an Open Horizon in Ever-Changing Dialogue Circumstances.

Christian Geishauser, Carel van Niekerk, Nurul Lubis, Hsien-Chin Lin, Michael Heck, Shutong Feng, Benjamin Matthias Ruppik, Renato Vukovic, Milica Gasic

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Infusing Emotions into Task-oriented Dialogue Systems: Understanding, Management, and Generation.

Shutong Feng, Hsien-Chin Lin, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Michael Heck, Benjamin Matthias Ruppik, Renato Vukovic, Milica Gasic

Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2024

2023

CAMELL: Confidence-based Acquisition Model for Efficient Self-supervised Active Learning with Label Validation.

Carel van Niekerk, Christian Geishauser, Michael Heck, Shutong Feng, Hsien-Chin Lin, Nurul Lubis, Benjamin Matthias Ruppik, Renato Vukovic, Milica Gasic

CoRR, 2023

EmoUS: Simulating User Emotions in Task-Oriented Dialogues.

Hsien-Chin Lin, Shutong Feng, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Michael Heck, Benjamin Matthias Ruppik, Renato Vukovic, Milica Gasic

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented Dialogue.

Shutong Feng, Nurul Lubis, Benjamin Matthias Ruppik, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Carel van Niekerk, Renato Vukovic, Milica Gasic

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format.

Qi Zhu, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Baolin Peng, Zheng Zhang, Shutong Feng, Michael Heck, Nurul Lubis, Dazhen Wan, Xiaochen Zhu, Jianfeng Gao, Milica Gasic, Minlie Huang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?

Michael Heck, Nurul Lubis, Benjamin Matthias Ruppik, Renato Vukovic, Shutong Feng, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Milica Gasic

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Robust Dialogue State Tracking with Weak Supervision and Sparse Data.

Michael Heck, Nurul Lubis, Carel van Niekerk, Shutong Feng, Christian Geishauser, Hsien-Chin Lin, Milica Gasic

Trans. Assoc. Comput. Linguistics, 2022

ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format.

Qi Zhu, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Baolin Peng, Zheng Zhang, Michael Heck, Nurul Lubis, Dazhen Wan, Xiaochen Zhu, Jianfeng Gao, Milica Gasic, Minlie Huang

CoRR, 2022

Dynamic Dialogue Policy Transformer for Continual Reinforcement Learning.

Christian Geishauser, Carel van Niekerk, Nurul Lubis, Michael Heck, Hsien-Chin Lin, Shutong Feng, Milica Gasic

CoRR, 2022

Dialogue Evaluation with Offline Reinforcement Learning.

Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Michael Heck, Shutong Feng, Milica Gasic

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

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

Hsien-Chin Lin, Christian Geishauser, Shutong Feng, Nurul Lubis, Carel van Niekerk, Michael Heck, Milica Gasic

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

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

Shutong Feng, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Michael Heck, Carel van Niekerk, Milica Gasic

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Dynamic Dialogue Policy for Continual Reinforcement Learning.

Christian Geishauser, Carel van Niekerk, Hsien-Chin Lin, Nurul Lubis, Michael Heck, Shutong Feng, Milica Gasic

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

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

Shutong Feng, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Michael Heck, Carel van Niekerk, Milica Gasic

CoRR, 2021

Domain-independent User Simulation with Transformers for Task-oriented Dialogue Systems.

Hsien-Chin Lin, Nurul Lubis, Songbo Hu, Carel van Niekerk, Christian Geishauser, Michael Heck, Shutong Feng, Milica Gasic

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

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

Carel van Niekerk, Andrey Malinin, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Nurul Lubis, Shutong Feng, Milica Gasic

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

What does the User Want? Information Gain for Hierarchical Dialogue Policy Optimisation.

Christian Geishauser, Songbo Hu, Hsien-Chin Lin, Nurul Lubis, Michael Heck, Shutong Feng, Carel van Niekerk, Milica Gasic

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

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

Michael Heck, Carel van Niekerk, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Marco Moresi, Milica Gasic

Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020

Knowing What You Know: Calibrating Dialogue Belief State Distributions via Ensembles.

Carel van Niekerk, Michael Heck, Christian Geishauser, Hsien-Chin Lin, Nurul Lubis, Marco Moresi, Milica Gasic

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization.

Nurul Lubis, Christian Geishauser, Michael Heck, Hsien-Chin Lin, Marco Moresi, Carel van Niekerk, Milica Gasic

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Out-of-Task Training for Dialog State Tracking Models.

Michael Heck, Christian Geishauser, Hsien-Chin Lin, Nurul Lubis, Marco Moresi, Carel van Niekerk, Milica Gasic

Proceedings of the 28th International Conference on Computational Linguistics, 2020