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08/29/2023
Multi-party Goal Tracking with LLMs: Comparing Pre-training, Fine-tuning, and Prompt Engineering
This paper evaluates the extent to which current Large Language Models (...
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08/29/2023
FurChat: An Embodied Conversational Agent using LLMs, Combining Open and Closed-Domain Dialogue with Facial Expressions
We demonstrate an embodied conversational agent that can function as a r...
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07/10/2023
SimpleMTOD: A Simple Language Model for Multimodal Task-Oriented Dialogue with Symbolic Scene Representation
SimpleMTOD is a simple language model which recasts several sub-tasks in...
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01/31/2021
An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games
Guessing games are a prototypical instance of the "learning by interacti...
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11/26/2020
Encoding Syntactic Constituency Paths for Frame-Semantic Parsing with Graph Convolutional Networks
We study the problem of integrating syntactic information from constitue...
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11/05/2020
Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games
In visual guessing games, a Guesser has to identify a target object in a...
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10/09/2020
Explainable Representations of the Social State: A Model for Social Human-Robot Interactions
In this paper, we propose a minimum set of concepts and signals needed t...
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06/03/2020
CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning
Approaches to Grounded Language Learning typically focus on a single tas...
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10/03/2019
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks
Goal-oriented dialogue systems are now being widely adopted in industry ...
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10/02/2019
Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLU
We present a new neural architecture for wide-coverage Natural Language ...
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09/15/2019
MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces
In the EU-funded MuMMER project, we have developed a social robot design...
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09/13/2019
Petri Net Machines for Human-Agent Interaction
Smart speakers and robots become ever more prevalent in our daily lives....
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08/16/2019
Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach
Learning with minimal data is one of the key challenges in the developme...
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11/02/2018
Neural Response Ranking for Social Conversation: A Data-Efficient Approach
The overall objective of 'social' dialogue systems is to support engagin...
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10/08/2018
Multi-Task Learning for Domain-General Spoken Disfluency Detection in Dialogue Systems
Spontaneous spoken dialogue is often disfluent, containing pauses, hesit...
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12/20/2017
An Ensemble Model with Ranking for Social Dialogue
Open-domain social dialogue is one of the long-standing goals of Artific...
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09/29/2017
Training an adaptive dialogue policy for interactive learning of visually grounded word meanings
We present a multi-modal dialogue system for interactive learning of per...
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09/29/2017
Learning how to learn: an adaptive dialogue agent for incrementally learning visually grounded word meanings
We present an optimised multi-modal dialogue agent for interactive learn...
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09/22/2017
Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars
We investigate an end-to-end method for automatically inducing task-base...
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09/22/2017
Challenging Neural Dialogue Models with Natural Data: Memory Networks Fail on Incremental Phenomena
Natural, spontaneous dialogue proceeds incrementally on a word-by-word b...
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06/08/2017
Sympathy Begins with a Smile, Intelligence Begins with a Word: Use of Multimodal Features in Spoken Human-Robot Interaction
Recognition of social signals, from human facial expressions or prosody ...
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12/01/2016
Bootstrapping incremental dialogue systems: using linguistic knowledge to learn from minimal data
We present a method for inducing new dialogue systems from very small am...
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08/01/2016
Crowd-sourcing NLG Data: Pictures Elicit Better Data
Recent advances in corpus-based Natural Language Generation (NLG) hold t...
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06/15/2016
Natural Language Generation as Planning under Uncertainty Using Reinforcement Learning
We present and evaluate a new model for Natural Language Generation (NLG...
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06/10/2016
Natural Language Generation enhances human decision-making with uncertain information
Decision-making is often dependent on uncertain data, e.g. data associat...
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11/25/2015
Strategic Dialogue Management via Deep Reinforcement Learning
Artificially intelligent agents equipped with strategic skills that can ...
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08/05/2015