Data Driven Dialogue
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Data Driven Dialogue
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Author : Bruce Wellman
language : en
Publisher:
Release Date : 2004-01-01
Data Driven Dialogue written by Bruce Wellman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-01 with Educational change categories.
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.
The Data Coach S Guide To Improving Learning For All Students
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Author : Nancy Love
language : en
Publisher: Corwin Press
Release Date : 2008-02-27
The Data Coach S Guide To Improving Learning For All Students written by Nancy Love and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-27 with Education categories.
Use data as an effective tool for school change and improvement! This resource helps data team facilitators move schools away from unproductive data practices and toward examining data for systematic and continuous improvement in instruction and learning. The book, which includes a CD-ROM with slides and reproducibles, illustrates how the authors' model has proven successful in: Narrowing achievement gaps in all content areas and grade levels Achieving strong, continuous gains in local and state assessments in mathematics, science, and reading Initiating powerful conversations about race/ethnicity, class, educational status, gender, and language differences Developing a vision for a high-performing, data-informed school culture
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 Diven Dialogue
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Author : Bruce Wellman
language : en
Publisher:
Release Date : 2016-11-15
Data Diven Dialogue written by Bruce Wellman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-15 with categories.
Using Data To Improve Learning For All
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Author : Nancy Love
language : en
Publisher: Corwin Press
Release Date : 2009
Using Data To Improve Learning For All written by Nancy Love and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Education categories.
Collaborative inquiry + effective use of data = significant leaps in learning and achievement! This resource combines a powerful collaborative inquiry process, reflective dialogue, and rigorous use of data to improve outcomes for all students. The editor and contributors provide detailed examples of schools that have demonstrated dramatic gains by building collaborative cultures, nurturing ongoing inquiry, and using data systematically. The book shows school leaders how to: Implement collaborative inquiry to meet accountability mandates Build and support a high-performing data culture Establish a school climate characterized by collective responsibility for student learning and a respect for students’ cultures
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.
Transforming Teaching And Learning Through Data Driven Decision Making
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Author : Ellen B. Mandinach
language : en
Publisher: Corwin Press
Release Date : 2012-04-10
Transforming Teaching And Learning Through Data Driven Decision Making written by Ellen B. Mandinach and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-10 with Education categories.
Connect data and instruction to improve practice Gathering data and using it to inform instruction is a requirement for many schools, yet educators are not necessarily formally trained in how to do it. This book helps bridge the gap between classroom practice and the principles of educational psychology. Teachers will find cutting-edge advances in research and theory on human learning and teaching in an easily understood and transferable format. The text’s integrated model shows teachers, school leaders, and district administrators how to establish a data culture and transform quantitative and qualitative data into actionable knowledge based on: Assessment Statistics Instructional and differentiated psychology Classroom management
Advances In Natural Multimodal Dialogue Systems
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Author : Jan van Kuppevelt
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-06
Advances In Natural Multimodal Dialogue Systems written by Jan van Kuppevelt 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 2005-12-06 with Computers categories.
The main topic of this volume is natural multimodal interaction. The book is unique in that it brings together a great many contributions regarding aspects of natural and multimodal interaction written by many of the important actors in the field. Topics addressed include talking heads, conversational agents, tutoring systems, multimodal communication, machine learning, architectures for multimodal dialogue systems, systems evaluation, and data annotation.
Conversational Ai
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Author : Michael McTear
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Conversational Ai written by Michael McTear and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
This book provides a comprehensive introduction to Conversational AI. While the idea of interacting with a computer using voice or text goes back a long way, it is only in recent years that this idea has become a reality with the emergence of digital personal assistants, smart speakers, and chatbots. Advances in AI, particularly in deep learning, along with the availability of massive computing power and vast amounts of data, have led to a new generation of dialogue systems and conversational interfaces. Current research in Conversational AI focuses mainly on the application of machine learning and statistical data-driven approaches to the development of dialogue systems. However, it is important to be aware of previous achievements in dialogue technology and to consider to what extent they might be relevant to current research and development. Three main approaches to the development of dialogue systems are reviewed: rule-based systems that are handcrafted using best practice guidelines; statistical data-driven systems based on machine learning; and neural dialogue systems based on end-to-end learning. Evaluating the performance and usability of dialogue systems has become an important topic in its own right, and a variety of evaluation metrics and frameworks are described. Finally, a number of challenges for future research are considered, including: multimodality in dialogue systems, visual dialogue; data efficient dialogue model learning; using knowledge graphs; discourse and dialogue phenomena; hybrid approaches to dialogue systems development; dialogue with social robots and in the Internet of Things; and social and ethical issues.