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06/08/2021
Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures
Knowledge Graph (KG) completion has been excessively studied with a mass...
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12/01/2020
Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers
The task of verbalization of RDF triples has known a growth in popularit...
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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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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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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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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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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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06/08/2016
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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03/02/2016