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08/24/2023
From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented Dialogue
Emotion recognition in conversations (ERC) is a crucial task for buildin...
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06/02/2023
EmoUS: Simulating User Emotions in Task-Oriented Dialogues
Existing user simulators (USs) for task-oriented dialogue systems only m...
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06/02/2023
ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?
Recent research on dialogue state tracking (DST) focuses on methods that...
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11/30/2022
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format
Diverse data formats and ontologies of task-oriented dialogue (TOD) data...
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09/02/2022
Dialogue Evaluation with Offline Reinforcement Learning
Task-oriented dialogue systems aim to fulfill user goals through natural...
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08/23/2022
GenTUS: Simulating User Behaviour and Language in Task-oriented Dialogues with Generative Transformers
User simulators (USs) are commonly used to train task-oriented dialogue ...
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04/12/2022
Dynamic Dialogue Policy Transformer for Continual Reinforcement Learning
Continual learning is one of the key components of human learning and a ...
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02/07/2022
Robust Dialogue State Tracking with Weak Supervision and Sparse Data
Generalising dialogue state tracking (DST) to new data is especially cha...
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09/15/2021
What Does The User Want? Information Gain for Hierarchical Dialogue Policy Optimisation
The dialogue management component of a task-oriented dialogue system is ...
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09/10/2021
EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion in Task-Oriented Dialogue Systems
The ability to recognise emotions lends a conversational artificial inte...
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09/09/2021
Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance
The ability to identify and resolve uncertainty is crucial for the robus...
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06/16/2021
Domain-independent User Simulation with Transformers for Task-oriented Dialogue Systems
Dialogue policy optimisation via reinforcement learning requires a large...
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11/18/2020
Out-of-Task Training for Dialog State Tracking Models
Dialog state tracking (DST) suffers from severe data sparsity. While man...
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11/18/2020
LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization
Reinforcement learning (RL) can enable task-oriented dialogue systems to...
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10/06/2020
Knowing What You Know: Calibrating Dialogue Belief State Distributions via Ensembles
The ability to accurately track what happens during a conversation is es...
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05/06/2020
