Statistical Methods In Natural Language Understanding And Spoken Dialogue Systems

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Data-Driven Methods for Adaptive Spoken Dialogue Systems

Author : Oliver Lemon
Publisher : Springer Science & Business Media
ISBN 13 : 1461448026
Total Pages : 184 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Data-Driven Methods for Adaptive Spoken Dialogue Systems by : Oliver Lemon

Download or read book Data-Driven Methods for Adaptive Spoken Dialogue Systems written by Oliver Lemon and published by Springer Science & Business Media. This book was released on 2012-10-21 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Spoken Dialogue Systems

Author : Kristina Jokinen
Publisher : Springer Nature
ISBN 13 : 3031021347
Total Pages : 151 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Spoken Dialogue Systems by : Kristina Jokinen

Download or read book Spoken Dialogue Systems written by Kristina Jokinen and published by Springer Nature. This book was released on 2022-05-31 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Empirical Methods in Natural Language Generation

Author : Emiel Krahmer
Publisher : Springer Science & Business Media
ISBN 13 : 3642155723
Total Pages : 363 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Empirical Methods in Natural Language Generation by : Emiel Krahmer

Download or read book Empirical Methods in Natural Language Generation written by Emiel Krahmer and published by Springer Science & Business Media. This book was released on 2010-09-09 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Speech & Language Processing

Author : Dan Jurafsky
Publisher : Pearson Education India
ISBN 13 : 9788131716724
Total Pages : 912 pages
Book Rating : 4.7/5 (167 download)

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Book Synopsis Speech & Language Processing by : Dan Jurafsky

Download or read book Speech & Language Processing written by Dan Jurafsky and published by Pearson Education India. This book was released on 2000-09 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Spoken Language Processing

Author : Xuedong Huang
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 1018 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Spoken Language Processing by : Xuedong Huang

Download or read book Spoken Language Processing written by Xuedong Huang and published by Prentice Hall. This book was released on 2001 with total page 1018 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remarkable progress is being made in spoken language processing, but many powerful techniques have remained hidden in conference proceedings and academic papers, inaccessible to most practitioners. In this book, the leaders of the Speech Technology Group at Microsoft Research share these advances -- presenting not just the latest theory, but practical techniques for building commercially viable products.KEY TOPICS: Spoken Language Processing draws upon the latest advances and techniques from multiple fields: acoustics, phonology, phonetics, linguistics, semantics, pragmatics, computer science, electrical engineering, mathematics, syntax, psychology, and beyond. The book begins by presenting essential background on speech production and perception, probability and information theory, and pattern recognition. The authors demonstrate how to extract useful information from the speech signal; then present a variety of contemporary speech recognition techniques, including hidden Markov models, acoustic and language modeling, and techniques for improving resistance to environmental noise. Coverage includes decoders, search algorithms, large vocabulary speech recognition techniques, text-to-speech, spoken language dialog management, user interfaces, and interaction with non-speech interface modalities. The authors also present detailed case studies based on Microsoft's advanced prototypes, including the Whisper speech recognizer, Whistler text-to-speech system, and MiPad handheld computer.MARKET: For anyone involved with planning, designing, building, or purchasing spoken language technology.

Spoken Language Understanding

Author : Gokhan Tur
Publisher : John Wiley & Sons
ISBN 13 : 1119993946
Total Pages : 443 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Spoken Language Understanding by : Gokhan Tur

Download or read book Spoken Language Understanding written by Gokhan Tur and published by John Wiley & Sons. This book was released on 2011-05-03 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in mobile devices to meeting summarization, attracting interest from both commercial and academic sectors. Both human/machine and human/human communications can benefit from the application of SLU, using differing tasks and approaches to better understand and utilize such communications. This book covers the state-of-the-art approaches for the most popular SLU tasks with chapters written by well-known researchers in the respective fields. Key features include: Presents a fully integrated view of the two distinct disciplines of speech processing and language processing for SLU tasks. Defines what is possible today for SLU as an enabling technology for enterprise (e.g., customer care centers or company meetings), and consumer (e.g., entertainment, mobile, car, robot, or smart environments) applications and outlines the key research areas. Provides a unique source of distilled information on methods for computer modeling of semantic information in human/machine and human/human conversations. This book can be successfully used for graduate courses in electronics engineering, computer science or computational linguistics. Moreover, technologists interested in processing spoken communications will find it a useful source of collated information of the topic drawn from the two distinct disciplines of speech processing and language processing under the new area of SLU.

Reinforcement Learning for Adaptive Dialogue Systems

Author : Verena Rieser
Publisher : Springer Science & Business Media
ISBN 13 : 3642249426
Total Pages : 261 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Reinforcement Learning for Adaptive Dialogue Systems by : Verena Rieser

Download or read book Reinforcement Learning for Adaptive Dialogue Systems written by Verena Rieser and published by Springer Science & Business Media. This book was released on 2011-11-23 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Methods for Spoken Dialogue Management

Author : Blaise Thomson
Publisher : Springer Science & Business Media
ISBN 13 : 1447149238
Total Pages : 143 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Statistical Methods for Spoken Dialogue Management by : Blaise Thomson

Download or read book Statistical Methods for Spoken Dialogue Management written by Blaise Thomson and published by Springer Science & Business Media. This book was released on 2013-01-08 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speech is the most natural mode of communication and yet attempts to build systems which support robust habitable conversations between a human and a machine have so far had only limited success. A key reason is that current systems treat speech input as equivalent to a keyboard or mouse, and behaviour is controlled by predefined scripts that try to anticipate what the user will say and act accordingly. But speech recognisers make many errors and humans are not predictable; the result is systems which are difficult to design and fragile in use. Statistical methods for spoken dialogue management takes a radically different view. It treats dialogue as the problem of inferring a user's intentions based on what is said. The dialogue is modelled as a probabilistic network and the input speech acts are observations that provide evidence for performing Bayesian inference. The result is a system which is much more robust to speech recognition errors and for which a dialogue strategy can be learned automatically using reinforcement learning. The thesis describes both the architecture, the algorithms needed for fast real-time inference over very large networks, model parameter estimation and policy optimisation. This ground-breaking work will be of interest both to practitioners in spoken dialogue systems and to cognitive scientists interested in models of human behaviour.

Proceedings of the Paralinguistic Information and its Integration in Spoken Dialogue Systems Workshop

Author : Ramón López-Cózar Delgado
Publisher : Springer Science & Business Media
ISBN 13 : 1461413354
Total Pages : 388 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Proceedings of the Paralinguistic Information and its Integration in Spoken Dialogue Systems Workshop by : Ramón López-Cózar Delgado

Download or read book Proceedings of the Paralinguistic Information and its Integration in Spoken Dialogue Systems Workshop written by Ramón López-Cózar Delgado and published by Springer Science & Business Media. This book was released on 2011-08-27 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume includes proceedings articles presented at the Workshop on Paralinguistic Information and its Integration in Spoken Dialogue Systems held in Granada, Spain. The material focuses on the three broad areas of spoken dialogue systems for robotics, emotions and spoken dialogue systems, and Spoken dialogue systems for real-world applications The workshop proceedings are part of the 3rd Annual International Workshop on Spoken Dialogue Systems, which brings together researchers from all over the world working in the field of spoken dialogue systems. It provides an international forum for the presentation of research and applications, and for lively discussions among researchers as well as industrialists.

Natural Language Processing – IJCNLP 2005

Author : Robert Dale
Publisher : Springer Science & Business Media
ISBN 13 : 3540291725
Total Pages : 1051 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Natural Language Processing – IJCNLP 2005 by : Robert Dale

Download or read book Natural Language Processing – IJCNLP 2005 written by Robert Dale and published by Springer Science & Business Media. This book was released on 2005-09-30 with total page 1051 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the Second International Joint Conference on Natural Language Processing, IJCNLP 2005, held in Jeju Island, Korea in October 2005. The 88 revised full papers presented in this volume were carefully reviewed and selected from 289 submissions. The papers are organized in topical sections on information retrieval, corpus-based parsing, Web mining, rule-based parsing, disambiguation, text mining, document analysis, ontology and thesaurus, relation extraction, text classification, transliteration, machine translation, question answering, morphological analysis, text summarization, named entity recognition, linguistic resources and tools, discourse analysis, semantic analysis NLP applications, tagging, language models, spoken language, and terminology mining.

Deep Learning in Natural Language Processing

Author : Li Deng
Publisher : Springer
ISBN 13 : 9811052093
Total Pages : 338 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Deep Learning in Natural Language Processing by : Li Deng

Download or read book Deep Learning in Natural Language Processing written by Li Deng and published by Springer. This book was released on 2018-05-23 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.

Text, Speech and Dialogue

Author : Petr Sojka
Publisher : Springer
ISBN 13 : 3642157602
Total Pages : 601 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Text, Speech and Dialogue by : Petr Sojka

Download or read book Text, Speech and Dialogue written by Petr Sojka and published by Springer. This book was released on 2010-09-03 with total page 601 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation This book constitutes the refereed proceedings of the 13th International Conference on Text, Speech and Dialogue, TSD 2010, held in Brno, Czech Republic, September 2010. The 71 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 144 submissions. The topics of the conference include, but are not limited to text corpora and tagging, transcription problems in spoken corpora, sense disambiguation, links between text and speech oriented systems, parsing issues, multi-lingual issues, information retrieval and information extraction, text/topic summarization, machine translation, semantic web, speech modeling, speech recognition, search in speech for IR and IE, text-to-speech synthesis, emotions and personality modeling, user modeling, knowledge representation in relation to dialogue systems, assistive technologies based on speech and dialogue, applied systems and software, facial animation, as well as visual speech synthesis.

Advances in Commercial Deployment of Spoken Dialog Systems

Author : David Suendermann
Publisher : Springer Science & Business Media
ISBN 13 : 1441996109
Total Pages : 80 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Advances in Commercial Deployment of Spoken Dialog Systems by : David Suendermann

Download or read book Advances in Commercial Deployment of Spoken Dialog Systems written by David Suendermann and published by Springer Science & Business Media. This book was released on 2011-06-04 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Commercial Deployment of Spoken Dialog Systems covers the peculiarities of commercial deployments of spoken dialog systems, from the tools, standards, and design principles to build them, the infrastructure to deploy them, techniques to monitor, evaluate, and analyze them, and, most importantly, effective strategies to adapt, tune, and optimize them. The book shows to what extent academic spoken dialog system research converges with real-world applications. This academic and practical synergy can be leveraged to build successful and robust spoken dialog applications that are useful when dealing with the dynamics of the ever-changing future user.

Statistical Language and Speech Processing

Author : Laurent Besacier
Publisher : Springer
ISBN 13 : 3319113976
Total Pages : 287 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Statistical Language and Speech Processing by : Laurent Besacier

Download or read book Statistical Language and Speech Processing written by Laurent Besacier and published by Springer. This book was released on 2014-09-02 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference on Statistical Language and Speech Processing, SLSP 2014, held in Grenoble, France, in October 2014. The 18 full papers presented together with three invited talks were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections on machine translation, speech and speaker recognition, machine learning methods, text extraction and categorization, and mining text.

Introduction to Natural Language Processing

Author : Jacob Eisenstein
Publisher : MIT Press
ISBN 13 : 0262042843
Total Pages : 535 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Introduction to Natural Language Processing by : Jacob Eisenstein

Download or read book Introduction to Natural Language Processing written by Jacob Eisenstein and published by MIT Press. This book was released on 2019-10-01 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.

The Oxford Handbook of Computational Linguistics

Author : Ruslan Mitkov
Publisher : Oxford University Press
ISBN 13 : 0199573697
Total Pages : 1377 pages
Book Rating : 4.1/5 (995 download)

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Book Synopsis The Oxford Handbook of Computational Linguistics by : Ruslan Mitkov

Download or read book The Oxford Handbook of Computational Linguistics written by Ruslan Mitkov and published by Oxford University Press. This book was released on 2022-03-09 with total page 1377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.

Meeting Security Challenges Through Data Analytics and Decision Support

Author : E. Shahbazian
Publisher : IOS Press
ISBN 13 : 1614997160
Total Pages : 352 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Meeting Security Challenges Through Data Analytics and Decision Support by : E. Shahbazian

Download or read book Meeting Security Challenges Through Data Analytics and Decision Support written by E. Shahbazian and published by IOS Press. This book was released on 2016-11-24 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The sheer quantity of widely diverse data which now results from multiple sources presents a problem for decision-makers and analysts, who are finding it impossible to cope with the ever-increasing flow of material. This has potentially serious consequences for the quality of decisions and operational processes in areas such as counterterrorism and security. This book presents the papers delivered at the NATO Advanced Research Workshop (ARW) 'Meeting Security Challenges through Data Analytics and Decision Support’, held in Aghveran, Armenia, in June 2015. The aim of the conference was to promote and enhance cooperation and dialogue between NATO and Partner countries on the subject of effective decision support for security applications. The attendance of many leading scientists from a variety of backgrounds and disciplines provided the opportunity to improve mutual understanding, as well as cognizance of the specific requirements and issues of Cyber Physical Social Systems (CPPS) and the technical advances pertinent to all collaborative human-centric information support systems in a variety of applications. The book is divided into 3 sections: counter terrorism: methodology and applications; maritime and border security; and cyber security, and will be of interest to all those involved in decision-making processes based on the analysis of big data.