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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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08/22/2022
Dialogue Term Extraction using Transfer Learning and Topological Data Analysis
Goal oriented dialogue systems were originally designed as a natural lan...
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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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03/18/2022
Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges
This is a report on the NSF Future Directions Workshop on Automatic Eval...
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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
Topology of Word Embeddings: Singularities Reflect Polysemy
The manifold hypothesis suggests that word vectors live on a submanifold...
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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
TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking
Task-oriented dialog systems rely on dialog state tracking (DST) to moni...
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10/02/2019
Tree-Structured Semantic Encoder with Knowledge Sharing for Domain Adaptation in Natural Language Generation
Domain adaptation in natural language generation (NLG) remains challengi...
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05/27/2019
AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning
Dialogue policy plays an important role in task-oriented spoken dialogue...
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01/05/2019
Addressing Objects and Their Relations: The Conversational Entity Dialogue Model
Statistical spoken dialogue systems usually rely on a single- or multi-d...
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12/20/2018
Variational Cross-domain Natural Language Generation for Spoken Dialogue Systems
Cross-domain natural language generation (NLG) is still a difficult task...
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09/29/2018
MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling
Even though machine learning has become the major scene in dialogue rese...
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09/03/2018
Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural Therapy
In recent years, we have seen deep learning and distributed representati...
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07/17/2018
Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing
Robust dialogue belief tracking is a key component in maintaining good q...
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06/14/2018
Nearly Zero-Shot Learning for Semantic Decoding in Spoken Dialogue Systems
This paper presents two ways of dealing with scarce data in semantic dec...
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05/17/2018
Neural User Simulation for Corpus-based Policy Optimisation for Spoken Dialogue Systems
User Simulators are one of the major tools that enable offline training ...
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03/08/2018
Feudal Reinforcement Learning for Dialogue Management in Large Domains
Reinforcement learning (RL) is a promising approach to solve dialogue po...
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02/11/2018
Sample Efficient Deep Reinforcement Learning for Dialogue Systems with Large Action Spaces
In spoken dialogue systems, we aim to deploy artificial intelligence to ...
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11/30/2017
Uncertainty Estimates for Efficient Neural Network-based Dialogue Policy Optimisation
In statistical dialogue management, the dialogue manager learns a policy...
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11/29/2017
A Benchmarking Environment for Reinforcement Learning Based Task Oriented Dialogue Management
Dialogue assistants are rapidly becoming an indispensable daily aid. To ...
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07/19/2017
Reward-Balancing for Statistical Spoken Dialogue Systems using Multi-objective Reinforcement Learning
Reinforcement learning is widely used for dialogue policy optimization w...
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07/01/2017
Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management
Deep reinforcement learning (RL) methods have significant potential for ...
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06/19/2017
Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning
Human conversation is inherently complex, often spanning many different ...
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06/01/2017
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints
We present Attract-Repel, an algorithm for improving the semantic qualit...
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10/13/2016
Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding
This paper presents a deep learning architecture for the semantic decode...
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09/09/2016
Dialogue manager domain adaptation using Gaussian process reinforcement learning
Spoken dialogue systems allow humans to interact with machines using nat...
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06/10/2016
Conditional Generation and Snapshot Learning in Neural Dialogue Systems
Recently a variety of LSTM-based conditional language models (LM) have b...
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06/08/2016
Continuously Learning Neural Dialogue Management
We describe a two-step approach for dialogue management in task-oriented...
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05/24/2016
On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems
The ability to compute an accurate reward function is essential for opti...
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04/15/2016
A Network-based End-to-End Trainable Task-oriented Dialogue System
Teaching machines to accomplish tasks by conversing naturally with human...
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03/03/2016
Multi-domain Neural Network Language Generation for Spoken Dialogue Systems
Moving from limited-domain natural language generation (NLG) to open dom...
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03/02/2016
Counter-fitting Word Vectors to Linguistic Constraints
In this work, we present a novel counter-fitting method which injects an...
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08/14/2015
Reward Shaping with Recurrent Neural Networks for Speeding up On-Line Policy Learning in Spoken Dialogue Systems
Statistical spoken dialogue systems have the attractive property of bein...
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08/13/2015
Learning from Real Users: Rating Dialogue Success with Neural Networks for Reinforcement Learning in Spoken Dialogue Systems
To train a statistical spoken dialogue system (SDS) it is essential that...
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08/07/2015
Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking
The natural language generation (NLG) component of a spoken dialogue sys...
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08/07/2015
Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems
Natural language generation (NLG) is a critical component of spoken dial...
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06/23/2015