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12/03/2019
Unsupervised Inflection Generation Using Neural Language Modeling
The use of Deep Neural Network architectures for Language Modeling has r...
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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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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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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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06/01/2017
Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules
Morphologically rich languages accentuate two properties of distribution...
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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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05/29/2017
Latent Intention Dialogue Models
Developing a dialogue agent that is capable of making autonomous decisio...
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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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06/12/2016
Neural Belief Tracker: Data-Driven Dialogue State Tracking
One of the core components of modern spoken dialogue systems is the beli...
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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
Multi-domain Dialog State Tracking using Recurrent Neural Networks
Dialog state tracking is a key component of many modern dialog systems, ...
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01/10/2013