b'Stefan Ultes'

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Featured Co-authors

Ye Liu
65 publications
Milica Gašić
49 publications
Elisabeth André
41 publications
Nikola Mrkšić
30 publications
Guilin Qi
25 publications
Pei-Hao Su
25 publications
Tsung-Hsien Wen
25 publications
Paweł Budzianowski
24 publications
Steve Young
24 publications
Iñigo Casanueva
18 publications
David Vandyke
17 publications

research

∙ 08/17/2023

Fostering User Engagement in the Critical Reflection of Arguments

A natural way to resolve different points of view and form opinions is t...

0 Klaus Weber, et al. ∙

research

∙ 08/06/2023

System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence Generator

In this work, we study dialogue scenarios that start from chit-chat but ...

0 Ye Liu, et al. ∙

research

∙ 07/04/2023

Unified Conversational Models with System-Initiated Transitions between Chit-Chat and Task-Oriented Dialogues

Spoken dialogue systems (SDSs) have been separately developed under two ...

0 Ye Liu, et al. ∙

research

∙ 11/23/2022

GraphWOZ: Dialogue Management with Conversational Knowledge Graphs

We present a new approach to dialogue management using conversational kn...

0 Nicholas Thomas Walker, et al. ∙

research

∙ 09/29/2022

ConceptNet infused DialoGPT for Underlying Commonsense Understanding and Reasoning in Dialogue Response Generation

The pre-trained conversational models still fail to capture the implicit...

0 Ye Liu, et al. ∙

research

∙ 11/28/2021

Context Matters in Semantically Controlled Language Generation for Task-oriented Dialogue Systems

This work combines information about the dialogue history encoded by pre...

0 Ye Liu, et al. ∙

research

∙ 09/07/2021

Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge

One challenge for dialogue agents is to recognize feelings of the conver...

0 Ye Liu, et al. ∙

research

∙ 09/07/2021

Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues using BERT

This paper presents an automatic method to evaluate the naturalness of n...

0 Ye Liu, et al. ∙

research

∙ 03/03/2021

Natural Language Understanding for Argumentative Dialogue Systems in the Opinion Building Domain

This paper introduces a natural language understanding (NLU) framework f...

0 Waheed Ahmed Abro, et al. ∙

research

∙ 06/29/2020

Towards meaningful, grounded conversations with intelligent agents

As conversational agents become integral parts of many aspects of our li...

0 Alexandros Papangelis, et al. ∙

research

∙ 01/21/2020

Improving Interaction Quality Estimation with BiLSTMs and the Impact on Dialogue Policy Learning

Learning suitable and well-performing dialogue behaviour in statistical ...

0 Stefan Ultes, et al. ∙

research

∙ 07/01/2019

Enabling Dialogue Management with Dynamically Created Dialogue Actions

In order to take up the challenge of realising user-adaptive system beha...

0 Juliana Miehle, et al. ∙

research

∙ 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...

0 Stefan Ultes, et al. ∙

research

∙ 12/20/2018

Variational Cross-domain Natural Language Generation for Spoken Dialogue Systems

Cross-domain natural language generation (NLG) is still a difficult task...

12 Bo-Hsiang Tseng, et al. ∙

research

∙ 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...

0 Paweł Budzianowski, et al. ∙

research

∙ 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...

0 Lina Rojas-Barahona, et al. ∙

research

∙ 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...

0 Lina M. Rojas Barahona, et al. ∙

research

∙ 03/08/2018

Feudal Reinforcement Learning for Dialogue Management in Large Domains

Reinforcement learning (RL) is a promising approach to solve dialogue po...

0 Iñigo Casanueva, et al. ∙

research

∙ 11/29/2017

A Benchmarking Environment for Reinforcement Learning Based Task Oriented Dialogue Management

Dialogue assistants are rapidly becoming an indispensable daily aid. To ...

0 Iñigo Casanueva, et al. ∙

research

∙ 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...

0 Stefan Ultes, et al. ∙

research

∙ 07/01/2017

Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management

Deep reinforcement learning (RL) methods have significant potential for ...

0 Pei-Hao Su, et al. ∙

research

∙ 06/19/2017

Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning

Human conversation is inherently complex, often spanning many different ...

0 Paweł Budzianowski, et al. ∙

research

∙ 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...

0 Lina M. Rojas Barahona, et al. ∙

research

∙ 09/09/2016

Dialogue manager domain adaptation using Gaussian process reinforcement learning

Spoken dialogue systems allow humans to interact with machines using nat...

0 Milica Gašić, et al. ∙

research

∙ 06/10/2016

Conditional Generation and Snapshot Learning in Neural Dialogue Systems

Recently a variety of LSTM-based conditional language models (LM) have b...

0 Tsung-Hsien Wen, et al. ∙

research

∙ 06/08/2016

Continuously Learning Neural Dialogue Management

We describe a two-step approach for dialogue management in task-oriented...

0 Pei-Hao Su, et al. ∙

research

∙ 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...

0 Pei-Hao Su, et al. ∙

research

∙ 04/15/2016

A Network-based End-to-End Trainable Task-oriented Dialogue System

Teaching machines to accomplish tasks by conversing naturally with human...

0 Tsung-Hsien Wen, et al. ∙

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