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09/21/2021
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
Transformer-based language models (LMs) pretrained on large text collect...
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04/17/2021
Multilingual and Cross-Lingual Intent Detection from Spoken Data
We present a systematic study on multilingual and cross-lingual intent d...
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11/09/2019
ConveRT: Efficient and Accurate Conversational Representations from Transformers
General-purpose pretrained sentence encoders such as BERT are not ideal ...
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09/03/2019
PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking
We present PolyResponse, a conversational search engine that supports ta...
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06/04/2019
Training Neural Response Selection for Task-Oriented Dialogue Systems
Despite their popularity in the chatbot literature, retrieval-based mode...
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04/13/2019
A Repository of Conversational Datasets
Progress in Machine Learning is often driven by the availability of larg...
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09/11/2018
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
Semantic specialization is the process of fine-tuning pre-trained distri...
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05/29/2018
Fully Statistical Neural Belief Tracking
This paper proposes an improvement to the existing data-driven Neural Be...
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05/08/2018
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
Word vector specialisation (also known as retrofitting) is a portable, l...
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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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10/17/2017
Specialising Word Vectors for Lexical Entailment
We present LEAR (Lexical Entailment Attract-Repel), a novel post-process...
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07/21/2017
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation
Existing approaches to automatic VerbNet-style verb classification are h...
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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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06/01/2017
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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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
