Carel van Niekerk

Orcid: 0000-0002-4551-7447

According to our database1, Carel van Niekerk authored at least 27 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Uncertainty Estimation, Management, and Utilisation in Human-Computer Dialogue.
PhD thesis, 2024

Learning With an Open Horizon in Ever-Changing Dialogue Circumstances.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Dialogue Ontology Relation Extraction via Constrained Chain-of-Thought Decoding.
Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2024

Local Topology Measures of Contextual Language Model Latent Spaces with Applications to Dialogue Term Extraction.
Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2024

Infusing Emotions into Task-oriented Dialogue Systems: Understanding, Management, and Generation.
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.
CoRR, 2023

EmoUS: Simulating User Emotions in Task-Oriented Dialogues.
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.
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.
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?
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.
Trans. Assoc. Comput. Linguistics, 2022

ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format.
CoRR, 2022

Dynamic Dialogue Policy Transformer for Continual Reinforcement Learning.
CoRR, 2022

Dialogue Term Extraction using Transfer Learning and Topological Data Analysis.
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

Dialogue Evaluation with Offline Reinforcement Learning.
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.
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.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Dynamic Dialogue Policy for Continual Reinforcement Learning.
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.
CoRR, 2021

Domain-independent User Simulation with Transformers for Task-oriented Dialogue Systems.
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.
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.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020
Adaptable Conversational Machines.
AI Mag., 2020

TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking.
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.
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.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Out-of-Task Training for Dialog State Tracking Models.
Proceedings of the 28th International Conference on Computational Linguistics, 2020


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