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Pomdp-based statistical spoken dialog systems: A review
Statistical dialog systems (SDSs) are motivated by the need for a data-driven framework that
reduces the cost of laboriously handcrafting complex dialog managers and that provides …
reduces the cost of laboriously handcrafting complex dialog managers and that provides …
Survey on evaluation methods for dialogue systems
In this paper, we survey the methods and concepts developed for the evaluation of dialogue
systems. Evaluation, in and of itself, is a crucial part during the development process. Often …
systems. Evaluation, in and of itself, is a crucial part during the development process. Often …
A survey of available corpora for building data-driven dialogue systems
During the past decade, several areas of speech and language understanding have
witnessed substantial breakthroughs from the use of data-driven models. In the area of …
witnessed substantial breakthroughs from the use of data-driven models. In the area of …
Do you mind? User perceptions of machine consciousness
The prospect of machine consciousness cultivates controversy across media, academia,
and industry. Assessing whether non-experts perceive technologies as conscious, and …
and industry. Assessing whether non-experts perceive technologies as conscious, and …
Simulating user satisfaction for the evaluation of task-oriented dialogue systems
Evaluation is crucial in the development process of task-oriented dialogue systems. As an
evaluation method, user simulation allows us to tackle issues such as scalability and cost …
evaluation method, user simulation allows us to tackle issues such as scalability and cost …
Speech act identification using semantic dependency graphs with probabilistic context-free grammars
JF Yeh - ACM Transactions on Asian and Low-Resource …, 2016 - dl.acm.org
We propose an approach for identifying the speech acts of speakers' utterances in
conversational spoken dialogue that involves using semantic dependency graphs with …
conversational spoken dialogue that involves using semantic dependency graphs with …
Gaussian processes for pomdp-based dialogue manager optimization
A partially observable Markov decision process (POMDP) has been proposed as a dialog
model that enables automatic optimization of the dialog policy and provides robustness to …
model that enables automatic optimization of the dialog policy and provides robustness to …
Experience replay-based deep reinforcement learning for dialogue management optimisation
Dialogue policy is a crucial component in task-oriented Spoken Dialogue Systems (SDSs).
As a decision function, it takes the current dialogue state as input and generates appropriate …
As a decision function, it takes the current dialogue state as input and generates appropriate …
Sample efficient deep reinforcement learning for dialogue systems with large action spaces
In spoken dialogue systems, we aim to deploy artificial intelligence to build automated
dialogue agents that can converse with humans. A part of this effort is the policy optimization …
dialogue agents that can converse with humans. A part of this effort is the policy optimization …
Neural user simulation for corpus-based policy optimisation for spoken dialogue systems
User Simulators are one of the major tools that enable offline training of task-oriented
dialogue systems. For this task the Agenda-Based User Simulator (ABUS) is often used. The …
dialogue systems. For this task the Agenda-Based User Simulator (ABUS) is often used. The …