Reinforcement Learning For Adaptive Dialogue Systems
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Reinforcement Learning For Adaptive Dialogue Systems
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Author : Verena Rieser
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-23
Reinforcement Learning For Adaptive Dialogue Systems written by Verena Rieser and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-23 with Computers categories.
The past decade has seen a revolution in the field of spoken dialogue systems. As in other areas of Computer Science and Artificial Intelligence, data-driven methods are now being used to drive new methodologies for system development and evaluation. This book is a unique contribution to that ongoing change. A new methodology for developing spoken dialogue systems is described in detail. The journey starts and ends with human behaviour in interaction, and explores methods for learning from the data, for building simulation environments for training and testing systems, and for evaluating the results. The detailed material covers: Spoken and Multimodal dialogue systems, Wizard-of-Oz data collection, User Simulation methods, Reinforcement Learning, and Evaluation methodologies. The book is a research guide for students and researchers with a background in Computer Science, AI, or Machine Learning. It navigates through a detailed case study in data-driven methods for development and evaluation of spoken dialogue systems. Common challenges associated with this approach are discussed and example solutions are provided. This work provides insights, lessons, and inspiration for future research and development – not only for spoken dialogue systems in particular, but for data-driven approaches to human-machine interaction in general.
Data Driven Methods For Adaptive Spoken Dialogue Systems
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Author : Oliver Lemon
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-10-21
Data Driven Methods For Adaptive Spoken Dialogue Systems written by Oliver Lemon and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-21 with Computers categories.
Data driven methods have long been used in Automatic Speech Recognition (ASR) and Text-To-Speech (TTS) synthesis and have more recently been introduced for dialogue management, spoken language understanding, and Natural Language Generation. Machine learning is now present “end-to-end” in Spoken Dialogue Systems (SDS). However, these techniques require data collection and annotation campaigns, which can be time-consuming and expensive, as well as dataset expansion by simulation. In this book, we provide an overview of the current state of the field and of recent advances, with a specific focus on adaptivity.
Data Driven Methods For Adaptive Spoken Dialogue Systems
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Author : Oliver Lemon
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-10-20
Data Driven Methods For Adaptive Spoken Dialogue Systems written by Oliver Lemon and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-20 with Computers categories.
Data driven methods have long been used in Automatic Speech Recognition (ASR) and Text-To-Speech (TTS) synthesis and have more recently been introduced for dialogue management, spoken language understanding, and Natural Language Generation. Machine learning is now present “end-to-end” in Spoken Dialogue Systems (SDS). However, these techniques require data collection and annotation campaigns, which can be time-consuming and expensive, as well as dataset expansion by simulation. In this book, we provide an overview of the current state of the field and of recent advances, with a specific focus on adaptivity.
Learning The Parameters Of Reinforcement Learning From Data For Adaptive Spoken Dialogue Systems
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Author : Layla El Asri
language : en
Publisher:
Release Date : 2016
Learning The Parameters Of Reinforcement Learning From Data For Adaptive Spoken Dialogue Systems written by Layla El Asri and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
This document proposes to learn the behaviour of the dialogue manager of a spoken dialogue system from a set of rated dialogues. This learning is performed through reinforcement learning. Our method does not require the definition of a representation of the state space nor a reward function. These two high-level parameters are learnt from the corpus of rated dialogues. It is shown that the spoken dialogue designer can optimise dialogue management by simply defining the dialogue logic and a criterion to maximise (e.g user satisfaction). The methodology suggested in this thesis first considers the dialogue parameters that are necessary to compute a representation of the state space relevant for the criterion to be maximized. For instance, if the chosen criterion is user satisfaction then it is important to account for parameters such as dialogue duration and the average speech recognition confidence score. The state space is represented as a sparse distributed memory. The Genetic Sparse Distributed Memory for Reinforcement Learning (GSDMRL) accommodates many dialogue parameters and selects the parameters which are the most important for learning through genetic evolution. The resulting state space and the policy learnt on it are easily interpretable by the system designer. Secondly, the rated dialogues are used to learn a reward function which teaches the system to optimise the criterion. Two algorithms, reward shaping and distance minimisation are proposed to learn the reward function. These two algorithms consider the criterion to be the return for the entire dialogue. These functions are discussed and compared on simulated dialogues and it is shown that the resulting functions enable faster learning than using the criterion directly as the final reward. A spoken dialogue system for appointment scheduling was designed during this thesis, based on previous systems, and a corpus of rated dialogues with this system were collected. This corpus illustrates the scaling capability of the state space representation and is a good example of an industrial spoken dialogue system upon which the methodology could be applied.
Spoken Dialogue Systems
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Author : Kristiina Jokinen
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2010
Spoken Dialogue Systems written by Kristiina Jokinen and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.
Considerable progress has been made in recent years in the development of dialogue systems that support robust and efficient human-machine interaction using spoken language. Spoken dialogue technology allows various interactive applications to be built and used for practical purposes, and research focuses on issues that aim to increase the system's communicative competence by including aspects of error correction, cooperation, multimodality, and adaptation in context. This book gives a comprehensive view of state-of-the-art techniques that are used to build spoken dialogue systems. It provides an overview of the basic issues such as system architectures, various dialogue management methods, system evaluation, and also surveys advanced topics concerning extensions of the basic model to more conversational setups. The goal of the book is to provide an introduction to the methods, problems, and solutions that are used in dialogue system development and evaluation. It presents dialogue modelling and system development issues relevant in both academic and industrial environments and also discusses requirements and challenges for advanced interaction management and future research. Table of Contents: Preface / Introduction to Spoken Dialogue Systems / Dialogue Management / Error Handling / Case Studies: Advanced Approaches to Dialogue Management / Advanced Issues / Methodologies and Practices of Evaluation / Future Directions / References / Author Biographies
Building Dialogue Pomdps From Expert Dialogues
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Author : Hamidreza Chinaei
language : en
Publisher: Springer
Release Date : 2016-02-08
Building Dialogue Pomdps From Expert Dialogues written by Hamidreza Chinaei and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-08 with Technology & Engineering categories.
This book discusses the Partially Observable Markov Decision Process (POMDP) framework applied in dialogue systems. It presents POMDP as a formal framework to represent uncertainty explicitly while supporting automated policy solving. The authors propose and implement an end-to-end learning approach for dialogue POMDP model components. Starting from scratch, they present the state, the transition model, the observation model and then finally the reward model from unannotated and noisy dialogues. These altogether form a significant set of contributions that can potentially inspire substantial further work. This concise manuscript is written in a simple language, full of illustrative examples, figures, and tables.
Empirical Methods In Natural Language Generation
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Author : Emiel Krahmer
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-09
Empirical Methods In Natural Language Generation written by Emiel Krahmer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-09 with Computers categories.
Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. In recent years the field has evolved substantially. Perhaps the most important new development is the current emphasis on data-oriented methods and empirical evaluation. Progress in related areas such as machine translation, dialogue system design and automatic text summarization and the resulting awareness of the importance of language generation, the increasing availability of suitable corpora in recent years, and the organization of shared tasks for NLG, where different teams of researchers develop and evaluate their algorithms on a shared, held out data set have had a considerable impact on the field, and this book offers the first comprehensive overview of recent empirically oriented NLG research.
The Conversational Interface
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Author : Michael McTear
language : en
Publisher: Springer
Release Date : 2016-05-19
The Conversational Interface written by Michael McTear and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-19 with Technology & Engineering categories.
This book provides a comprehensive introduction to the conversational interface, which is becoming the main mode of interaction with virtual personal assistants, smart devices, various types of wearable, and social robots. The book consists of four parts. Part I presents the background to conversational interfaces, examining past and present work on spoken language interaction with computers. Part II covers the various technologies that are required to build a conversational interface along with practical chapters and exercises using open source tools. Part III looks at interactions with smart devices, wearables, and robots, and discusses the role of emotion and personality in the conversational interface. Part IV examines methods for evaluating conversational interfaces and discusses future directions.
Artificial Intelligence Theories Models And Applications
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Author : Ilias Maglogiannis
language : en
Publisher: Springer
Release Date : 2012-05-26
Artificial Intelligence Theories Models And Applications written by Ilias Maglogiannis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-26 with Computers categories.
This book constitutes the proceedings of the 7th Hellenic Conference on Artificial Intelligence, SETN 2012, held in Lamia, Greece, in May 2012. The 47 contributions included in this volume were carefully reviewed and selected from 81 submissions. They deal with emergent topics of artificial intelligence and come from the SETN main conference as well as from the following special sessions on advancing translational biological research through the incorporation of artificial intelligence methodologies; artificial intelligence in bioinformatics; intelligent annotation of digital content; intelligent, affective, and natural interfaces; and unified multimedia knowledge representation and processing.
The Handbook On Socially Interactive Agents
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Author : Birgit Lugrin
language : en
Publisher: Morgan & Claypool
Release Date : 2022-10-19
The Handbook On Socially Interactive Agents written by Birgit Lugrin and has been published by Morgan & Claypool this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-19 with Computers categories.
The Handbook on Socially Interactive Agents provides a comprehensive overview of the research fields of Embodied Conversational Agents;Intelligent Virtual Agents;and Social Robotics. Socially Interactive Agents (SIAs);whether virtually or physically embodied;are autonomous agents that are able to perceive an environment including people or other agents;reason;decide how to interact;and express attitudes such as emotions;engagement;or empathy. They are capable of interacting with people and one another in a socially intelligent manner using multimodal communicative behaviors;with the goal to support humans in various domains. Written by international experts in their respective fields;the book summarizes research in the many important research communities pertinent for SIAs;while discussing current challenges and future directions. The handbook provides easy access to modeling and studying SIAs for researchers and students;and aims at further bridging the gap between the research communities involved. In two volumes;the book clearly structures the vast body of research. The first volume starts by introducing what is involved in SIAs research;in particular research methodologies and ethical implications of developing SIAs. It further examines research on appearance and behavior;focusing on multimodality. Finally;social cognition for SIAs is investigated using different theoretical models and phenomena such as theory of mind or pro-sociality. The second volume starts with perspectives on interaction;examined from different angles such as interaction in social space;group interaction;or long-term interaction. It also includes an extensive overview summarizing research and systems of human–agent platforms and of some of the major application areas of SIAs such as education;aging support;autism;and games.