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  • Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg  (5)
  • Dordrecht [u.a.] : Springer
  • Computer science  (6)
  • Computersicherheit
  • Computer Science  (6)
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  • 1
    ISBN: 9789400751705 , 9781283865654
    Language: English
    Pages: Online-Ressource (XI, 440 p. 26 illus., 20 illus. in color)
    Edition: Online-Ausg. Springer eBook Collection. Humanities, Social Sciences and Law Electronic reproduction; Available via World Wide Web
    DDC: 341
    RVK:
    Keywords: Law ; Philosophy of law ; Technology Philosophy ; Computer science ; Computersicherheit
    Abstract: On 25 January 2012, the European Commission presented its long awaited new Data protection package. With this proposal for a drastic revision of the data protection framework in Europe, it is fair to say that we are witnessing a rebirth of European data protection, and perhaps, its passage from an impulsive youth to a more mature state. Technology advances rapidly and mobile devices are significantly changing the landscape. Increasingly, we carry powerful, connected, devices, whose location and activities can be monitored by various stakeholders. Very powerful social network sites emerged in the first half of last decade, processing personal data of many millions of users. Updating the regulatory framework was imminent and the presentation of the new package will initiate a period of intense debate in which the proposals will be thoroughly commented upon and criticized, and numerous amendments will undoubtedly be proposed. This volume brings together some 19 chapters offering conceptual analyses, highlighting issues, proposing solutions, and discussing practices regarding privacy and data protection. In the first part of the book, conceptual analyses of concepts such as privacy and anonymity are provided. The second section focuses on the contrasted positions of digital natives and ageing users in the information society. The third section provides four chapters on privacy by design, including discussions on roadmapping and concrete techniques. The fourth section is devoted to surveillance and profiling, with illustrations from the domain of smart metering, self-surveillance and the benefits and risks of profiling. The book concludes with case studies pertaining to communicating privacy in organisations, the fate of a data protection supervisor in one of the EU member states and data protection in social network sites and online media
    Abstract: On 25 January 2012, the European Commission presented its long awaited new “Data protection package”. With this proposal for a drastic revision of the data protection framework in Europe, it is fair to say that we are witnessing a rebirth of European data protection, and perhaps, its passage from an impulsive youth to a more mature state. Technology advances rapidly and mobile devices are significantly changing the landscape. Increasingly, we carry powerful, connected, devices, whose location and activities can be monitored by various stakeholders. Very powerful social network sites emerged in the first half of last decade, processing personal data of many millions of users. Updating the regulatory framework was imminent and the presentation of the new package will initiate a period of intense debate in which the proposals will be thoroughly commented upon and criticized, and numerous amendments will undoubtedly be proposed. This volume brings together some 19 chapters offering conceptual analyses, highlighting issues, proposing solutions, and discussing practices regarding privacy and data protection. In the first part of the book, conceptual analyses of concepts such as privacy and anonymity are provided. The second section focuses on the contrasted positions of digital natives and ageing users in the information society. The third section provides four chapters on privacy by design, including discussions on roadmapping and concrete techniques. The fourth section is devoted to surveillance and profiling, with illustrations from the domain of smart metering, self-surveillance and the benefits and risks of profiling. The book concludes with case studies pertaining to communicating privacy in organisations, the fate of a data protection supervisor in one of the EU member states and data protection in social network sites and online media.
    Description / Table of Contents: European Data Protection:Coming of Age; Foreword; Contents; Part I: Concepts; Chapter 1: Seven Types of Privacy; 1.1 Introduction; 1.2 Defining and Conceptualising Privacy; 1.3 Seven Types of Privacy; 1.4 Privacy Impacts of New and Emerging Technologies; 1.4.1 Whole Body Imaging Scanners; 1.4.2 RFID-Enabled Travel Documents; 1.4.3 Unmanned Aircraft Systems; 1.4.4 Second-Generation DNA Sequencing Technologies; 1.4.5 Human Enhancement; 1.4.6 Second-Generation Biometrics; 1.4.7 Filling in the Gaps; 1.5 The Merit of Elusiveness; 1.6 Conclusion; References
    Description / Table of Contents: Chapter 2: The Internet as Surveilled Workplayplace and Factory2.1 Introduction; 2.2 Workplace Surveillance; 2.3 The Rise of Play Labour; 2.4 Internet Playbour; 2.5 Internet Surveillance; 2.6 Conclusion: The Surveilled Workplayplace Factory; References; Chapter 3: From Market-Making Tool to Fundamental Right: The Role of the Court of Justice in Data Protection's Identity Crisis; 3.1 Introduction; 3.2 A Critical Analysis of the 'Market-Making' Vocation of European Data Protection Law; 3.2.1 The Emergence of the Dual Objectives of European Data Protection Law
    Description / Table of Contents: 3.2.2 The Competence Question: The Legitimacy of EU Legislation in the Human Rights Sphere3.3 Loosening the Links Between Data Protection and Market Harmonisation?; 3.3.1 The Broad Conception of the Directive's Scope of Application; 3.3.2 The Margin of Discretion Left to National Authorities; 3.4 The Rights-Based Approach to Data Protection in the EU and the Residual Impact of Market Integration Restraints; 3.4.1 Data Protection as a Fundamental Right Pre-Lisbon; 3.4.2 The Right to Data Protection in the Post-Lisbon Era; 3.5 Conclusion: Casting Our Eyes on the Future; References
    Description / Table of Contents: Case Law of the Court of JusticeChapter 4: Anonymity: A Comparison Between the Legal and Computer Science Perspectives; 4.1 Introduction; 4.2 The Notion of Anonymity in European Legislation on Personal Data; 4.2.1 The Notion of Anonymity in Common Language; 4.2.2 The Definition of Personal Data; 4.2.3 The Concept of Anonymous Data; 4.2.4 A Case Study: The Definition of Anonymous Data in the Italian Personal Protection Code; 4.3 Anonymity in Data Disclosure; 4.3.1 Anonymity in Data Publication; 4.3.1.1 Problem Definition and Characterization; 4.3.1.2 k -Anonymity
    Description / Table of Contents: 4.3.1.3 k -Anonymity with Multiple QI4.3.1.4 l -Diversity; 4.3.1.5 t -Closeness; 4.3.2 Anonymity When Disclosing Spatio-Temporal Information; 4.3.2.1 Problem Description; 4.3.2.2 Privacy Models for LBS Anonymity; 4.4 Discussion; 4.4.1 The Role of Anonymity in Privacy Preservation; 4.4.2 Identifying Information and Personal Data; 4.4.3 Anonymity Measurement; 4.4.4 Anonymity and the Principle of Minimization; 4.5 Conclusions and Future Work; References; Part II: Digital Natives and Ageing Users
    Description / Table of Contents: Chapter 5: Digital Natives and the Metamorphosis of the European Information Society. The Emerging Behavioral Trends Regarding Privacy and Their Legal Implications
    Description / Table of Contents: Foreword -- I. Concepts -- 1. Seven types of privacy; Rachel Finn, David Wright and Michael Friedewald -- 2. The Internet as Surveilled Workplayplace and Factory; Christian Fuchs and Daniel Trottier -- 3. From Market-Making Tool to Fundamental Right: the Role of the Court of Justice in Data Protection’s Identity Crisis; Orla Lynskey -- 4. Anonymity: a Comparison between the Legal and Computer Science Perspectives; Sergio Mascetti, Anna Monreale, Annarita Ricci and Andrea Gerino -- II. Digital natives and ageing users -- 5. Digital Natives and the Metamorphosis of European Society. The emerging behavioral trends regarding privacy and their legal implications; Norberto Andrade and Shara Monteleone -- 6. Autonomy in ICT for older persons at the crossroads between legal and care practices; Daniel Lopez Gomez, Eugenio Mantovani and Paul De Hert -- 7. Ethical implications of technologies that "support" ageing with dementia at home; Unai Díaz-Orueta and Elena Urdaneta -- III. Privacy by design -- 8. Privacy by Design: Enhanced Privacy Leadership, Methods, and Results; Ann Cavoukian -- 9. Roadmap for Privacy Protection in Mobile Sensing Applications; Delphine Christin, Matthias Hollick -- 10. Privacy enhancing techniques for the protection of mobility patterns in LBS: research issues and trends; Maria Luisa Damiani -- 11. Privacy by Design through social requirements analysis of social network sites from a user perspective; Ralf De Wolf, Rob Heyman and Jo Pierson -- IV. Surveillance, profiling and smart metering -- 12. Smart metering and privacy in Europe: lessons from the Dutch case; Colette Cuijpers and Bert-Jaap Koops -- 13. User Choice, Privacy Sensitivity, and Acceptance of Personal Information Collection; Joshua B. Hurwitz -- 14. Beyond Gut Level - Some Critical Remarks on the German Privacy Approach to Smart Metering; Frank Pallas -- 15. Surveillance as a Service? On the Use of Surveillance Data for Administrative Purposes; Martin Pekárek, Arnold Roosendaal and Jasper Sluijs -- 6. Computers Reading Our Minds? The benefits and risks of profiling; Jorg Polakiewicz -- Case studies -- 17. Communicating Privacy in Organisations. Catharsis and Change in the Case of the Deutsche Bahn; Daniel Guagnin, Carla Ilten and Leon Hempel -- 18. The end of independent data protection supervision in Hungary - a case study;  András Jóri -- 19. Data Protection, Social Networks and Online Mass Media; Artemi Rallo and Ricard Martínez..
    Note: Description based upon print version of record , Electronic reproduction; Available via World Wide Web
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  • 2
    Online Resource
    Online Resource
    Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg
    ISBN: 9783642227431
    Language: English
    Pages: Online-Ressource (XXII, 105p. 33 illus., 13 illus. in color, digital)
    Series Statement: Theory and Applications of Natural Language Processing
    Series Statement: SpringerLink
    Series Statement: Bücher
    Parallel Title: Buchausg. u.d.T. Petrov, Slav Coarse-to-fine natural language processing
    RVK:
    Keywords: Computer Science ; Computer science ; Computer science ; Computational linguistics ; Statistical methods ; Natürliche Sprache ; Syntaktische Analyse ; Grammatik ; Latente Variable ; Maschinelles Lernen ; Automatische Spracherkennung ; Maschinelle Übersetzung ; Natürliche Sprache ; Syntaktische Analyse ; Grammatik ; Latente Variable ; Maschinelles Lernen ; Automatische Spracherkennung ; Maschinelle Übersetzung
    Abstract: 1.Introduction -- 2.Latent Variable Grammars for Natural Language Parsing -- 3.Discriminative Latent Variable Grammars -- 4.Structured Acoustic Models for Speech Recognition -- 5.Coarse-to-Fine Machine Translation Decoding -- 6.Conclusions and Future Work -- Bibliography
    Abstract: The impact of computer systems that can understand natural language will be tremendous. To develop this capability we need to be able to automatically and efficiently analyze large amounts of text. Manually devised rules are not sufficient to provide coverage to handle the complex structure of natural language, necessitating systems that can automatically learn from examples. To handle the flexibility of natural language, it has become standard practice to use statistical models, which assign probabilities for example to the different meanings of a word or the plausibility of grammatical constructions. This book develops a general coarse-to-fine framework for learning and inference in large statistical models for natural language processing. Coarse-to-fine approaches exploit a sequence of models which introduce complexity gradually. At the top of the sequence is a trivial model in which learning and inference are both cheap. Each subsequent model refines the previous one, until a final, full-complexity model is reached. Applications of this framework to syntactic parsing, speech recognition and machine translation are presented, demonstrating the effectiveness of the approach in terms of accuracy and speed. This book is intended for students and researchers interested in statistical approaches to Natural Language Processing. Slav’s work Coarse-to-Fine Natural Language Processing represents a major advance in the area of syntactic parsing, and a great advertisement for the superiority of the machine-learning approach. Eugene Charniak (Brown University)
    Description / Table of Contents: Coarse-to-Fine Natural Language Processing; Foreword; Preface; Acknowledgements; Contents; List of Figures; List of Tables; Chapter 1 Introduction; 1.1 Coarse-to-Fine Models; 1.2 Coarse-to-Fine Inference; Chapter 2 Latent Variable Grammars for Natural Language Parsing; 2.1 Introduction; 2.1.1 Experimental Setup; 2.2 Manual Grammar Refinement; 2.2.1 Vertical and Horizontal Markovization; 2.2.2 Additional Linguistic Refinements; 2.3 Generative Latent Variable Grammars; 2.3.1 Hierarchical Estimation; 2.3.2 Adaptive Refinement; 2.3.3 Smoothing; 2.3.4 An Infinite Alternative; 2.4 Inference
    Description / Table of Contents: 2.4.1 Hierarchical Coarse-to-Fine Pruning2.4.1.1 Projections; 2.4.1.2 Estimating Projected Grammars; 2.4.1.3 Calculating Projected Expectations; 2.4.1.4 Hierarchical Projections; 2.4.1.5 Pruning Experiments; 2.4.2 Objective Functions for Parsing; 2.4.2.1 Minimum Bayes Risk Parsing; 2.4.2.2 Alternative Objective Functions; 2.5 Additional Experiments; 2.5.1 Experimental Setup; 2.5.2 Baseline Grammar Variation; 2.5.3 Final Results WSJ; 2.5.4 Multilingual Parsing; 2.5.5 Corpus Variation; 2.5.6 Training Size Variation; 2.6 Analysis; 2.6.1 Lexical Subcategories; 2.6.2 Phrasal Subcategories
    Description / Table of Contents: 2.6.3 Multilingual Analysis2.7 Summary and Future Work; Chapter 3 Discriminative Latent Variable Grammars; 3.1 Introduction; 3.2 Log-Linear Latent Variable Grammars; 3.3 Single-Scale Discriminative Grammars; 3.3.1 Efficient Discriminative Estimation; 3.3.1.1 Hierarchical Estimation; 3.3.1.2 Feature-Count Approximation; 3.3.2 Experiments; 3.3.2.1 Efficiency; 3.3.2.2 Regularization; 3.3.2.3 Final Test Set Results; 3.4 Multi-scale Discriminative Grammars; 3.4.1 Hierarchical Refinement; 3.4.2 Learning Sparse Multi-scale Grammars; 3.4.2.1 Hierarchical Training
    Description / Table of Contents: 3.4.2.2 Efficient Multi-scale Inference3.4.2.3 Feature Count Approximations; 3.4.3 Additional Features; 3.4.3.1 Unknown Word Features; 3.4.3.2 Span Features; 3.4.4 Experiments; 3.4.4.1 Sparsity; 3.4.4.2 Accuracy; 3.4.4.3 Efficiency; 3.4.4.4 Final Results; 3.4.5 Analysis; 3.5 Summary and Future Work; Chapter 4 Structured Acoustic Models for Speech Recognition; 4.1 Introduction; 4.2 Learning; 4.2.1 The Hand-Aligned Case; 4.2.2 Splitting; 4.2.3 Merging; 4.2.4 Smoothing; 4.2.5 The Automatically-Aligned Case; 4.3 Inference; 4.4 Experiments; 4.4.1 Phone Recognition; 4.4.2 Phone Classification
    Description / Table of Contents: 4.5 Analysis4.6 Summary and Future Work; Chapter 5 Coarse-to-Fine Machine Translation Decoding; 5.1 Introduction; 5.2 Coarse-to-Fine Decoding; 5.2.1 Related Work; 5.2.2 Language Model Projections; 5.2.3 Multipass Decoding; 5.3 Inversion Transduction Grammars; 5.4 Learning Coarse Languages; 5.4.1 Random Projections; 5.4.2 Frequency Clustering; 5.4.3 HMM Clustering; 5.4.4 JCluster; 5.4.5 Clustering Results; 5.5 Experiments; 5.5.1 Clustering; 5.5.2 Spacing; 5.5.3 Encoding Versus Order; 5.5.4 Final Results; 5.5.5 Search Error Analysis; 5.6 Summary and Future Work
    Description / Table of Contents: Chapter 6 Conclusions and Future Work
    Note: Description based upon print version of record
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  • 3
    Online Resource
    Online Resource
    Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg
    ISBN: 9783642175251
    Language: English
    Pages: Online-Ressource (X, 294p. 60 illus, digital)
    Series Statement: Theory and Applications of Natural Language Processing
    Series Statement: SpringerLink
    Series Statement: Bücher
    Parallel Title: Buchausg. u.d.T. Interactive multi-modal question-answering
    RVK:
    Keywords: Information storage and retrieval systems ; Computer Science ; Computer science ; Multimedia systems ; Information storage and retrieva ; Computer science ; Information storage and retrieval systems ; Multimedia systems ; Aufsatzsammlung ; Frage-Antwort-System ; Multimodales System ; Mensch-Maschine-Kommunikation ; Natürlichsprachiges System ; Medizin ; Dialogsystem ; Information Extraction ; Textanalyse
    Abstract: Part I Introduction to the IMIX Programme -- Introduction. Antal van den Bosch and Gosse Bouma -- IMIX: Good Questions, Promising Answers. Eduard Hovy, Jon Oberlander, and Norbert Reithinger -- The IMIX demonstrator: an information search assistant for the medical domain. Dennis Hofs and Boris van Schooten and Rieks op den Akker -- Part II Interaction Management -- Vidiam: Corpus-based Development of a Dialogue Manager for Multimodal Question Answering. Boris van Schooten and Rieks op den Akker -- Multidimensional Dialogue Management. Simon Keizer, Harry Bunt, and Volha Petukhova -- Part III Fusing Text, Speech, and Images. Experiments in Multimodal Information Presentation. Charlotte van Hooijdonk, Wauter Bosma, Emiel Krahmer, Alfons Maes, and Mariët Theune -- Text-to-text generation for question answering. Wauter Bosma, Erwin Marsi, Emiel Krahmer and Mariët Theune -- Part IV Text Analysis for Question Answering Automatic Extraction of Medical Term Variants from Mutilingual Parallel Translations. Lonneke van der Plas, Jörg Tiedemann, and Ismail Fahmi -- Relation Extraction for Open and Closed Domain Question Answering . Gosse Bouma, Ismail Fahmi, and Jori Mur -- Constraint-Satisfaction Inference for Entity Recognition. Sander Canisius, Antal van den Bosch, and Walter Daelemans -- Extraction of Hypernymy Information from Text. Erik Tjong Kim Sang, Katja Hofmann and Maarten de Rijke.-Towards a Discourse-driven Taxonomic Inference Model . Piroska Lendvai
    Abstract: This book is the result of a group of researchers from different disciplines asking themselves one question: what does it take to develop a computer interface that listens, talks, and can answer questions in a domain? First, obviously, it takes specialized modules for speech recognition and synthesis, human interaction management (dialogue, input fusion, andmultimodal output fusion), basic question understanding, and answer finding. While all modules are researched as independent subfields, this book describes the development of state-of-the-art modules and their integration into a single, working application capable of answering medical (encyclopedic) questions such as "How long is a person with measles contagious?" or "How can I prevent RSI?". The contributions in this book, which grew out of the IMIX project funded by the Netherlands Organisation for Scientific Research, document the development of this system, but also address more general issues in natural language processing, such as the development of multidimensional dialogue systems, the acquisition of taxonomic knowledge from text, answer fusion, sequence processing for domain-specific entity recognition, and syntactic parsing for question answering. Together, they offer an overview of the most important findings and lessons learned in the scope of the IMIX project, making the book of interest to both academic and commercial developers of human-machine interaction systems in Dutch or any other language. Highlights include: integrating multi-modal input fusion in dialogue management (Van Schooten and Op den Akker), state-of-the-art approaches to the extraction of term variants (Van der Plas, Tiedemann, and Fahmi; Tjong Kim Sang, Hofmann, and De Rijke), and multi-modal answer fusion (two chapters by Van Hooijdonk, Bosma, Krahmer, Maes, Theune, and Marsi). Watch the IMIX movie at www.nwo.nl/imix-film . Like IBM's Watson, the IMIX system described in the book gives naturally phrased responses to naturally posed questions. Where Watson can only generate synthetic speech, the IMIX system also recognizes speech. On the other hand, Watson is able to win a television quiz, while the IMIX system is domain-specific, answering only to medical questions. "The Netherlands has always been one of the leaders in the general field of Human Language Technology, and IMIX is no exception. It was a very ambitious program, with a remarkably successful performance leading to interesting results. The teams covered a rema ...
    Description / Table of Contents: pt. 1. Introduction to the IMIX programme -- pt. 2. Interaction management -- pt. 3. Fusing text, speech, and images -- pt. 4. Text analysis for question answering -- pt. 5. Epilogue.
    Note: Includes bibliographical references
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  • 4
    ISBN: 9783642249426
    Language: English
    Pages: Online-Ressource (XV, 253p. 50 illus., 27 illus. in color, digital)
    Series Statement: Theory and Applications of Natural Language Processing
    Series Statement: SpringerLink
    Series Statement: Bücher
    Parallel Title: Buchausg. u.d.T. Rieser, Verena Reinforcement learning for adaptive dialogue systems
    RVK:
    Keywords: Computer Science ; Computer science ; Artificial intelligence ; Translators (Computer programs) ; Computer science ; Artificial intelligence ; Translators (Computer programs) ; Mensch-Maschine-Kommunikation ; Dialogsystem ; Natürlichsprachiges System ; Multimodales System ; Lernendes System ; Bestärkendes Lernen ; Benutzerverhalten ; Simulation ; Automatische Sprachproduktion ; Mensch-Maschine-Kommunikation ; Dialogsystem ; Natürlichsprachiges System ; Multimodales System ; Lernendes System ; Bestärkendes Lernen ; Benutzerverhalten ; Simulation ; Automatische Sprachproduktion
    Abstract: 1.Introduction -- 2.Background -- 3.Reinforcement Learning for Information Seeking dialogue strategies -- 4.The bootstrapping approach to developing Reinforcement Learning-based strategies -- 5.Data Collection in aWizard-of-Oz experiment -- 6.Building a simulated learning environment from Wizard-of-Oz data -- 7.Comparing Reinforcement and Supervised Learning of dialogue policies with real users -- 8.Meta-evaluation -- 9.Adaptive Natural Language Generation -- 10.Conclusion -- References -- Example Dialogues -- A.1.Wizard-of-Oz Example Dialogues -- A.2.Example Dialogues from Simulated Interaction -- A.3.Example Dialogues from User Testing -- Learned State-Action Mappings -- Index
    Abstract: 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
    Description / Table of Contents: Reinforcement Learning for Adaptive Dialogue Systems; Preface; Acknowledgements; Contents; Acronyms; Chapter 1 Introduction; 1.1 The Design Problem for Spoken Dialogue Systems; 1.2 Overview; 1.3 Structure of the Book; Chapter 2 (Background); Chapter 3 (Reinforcement Learning); Chapter 4 (Proof-of-Concept: Information Seeking Strategies); Chapter 5 (A Bootstrapping Approach to Develop Reinforcement Learning-based Strategies); Chapter 6 (Data Collection in aWizard-of-Oz Experiment); Chapter 7 (Building a Simulated Learning Environment from Wizard-of-Oz Data)
    Description / Table of Contents: Chapter 8 (Comparing Reinforcement and Supervised Learning of Dialogue Policies with Real Users)Chapter 9 (Natural Language Generation); Chapter 10 (Conclusion); Part I Fundamental Concepts; Chapter 2 Background; 2.1 Human-Computer Interaction; 2.2 Dialogue Strategy Development; 2.2.1 Conventional Development Lifecycle; 2.2.2 Evaluation and Strategy Quality Control; 2.2.2.1 Quality Control in Industry; 2.2.2.2 Evaluation Practises in Academia; 2.2.2.3 The PARADISE Evaluation Framework; 2.2.2.4 Strategy Re-Implementation; 2.2.3 Strategy Implementation
    Description / Table of Contents: 2.2.3.1 Implementation Practises in Industry2.2.3.2 Implementation Practises in Academia; 2.2.4 Challenges for Strategy Development; 2.3 Literature review: Learning Dialogue Strategies; 2.3.1 Machine Learning Paradigms; 2.3.2 Supervised Learning for Dialogue Strategies; 2.3.3 Dialogue as Decision Making under Uncertainty; 2.3.4 Reinforcement Learning for Dialogue Strategies; 2.4 Summary; Chapter 3 Reinforcement Learning; 3.1 The Nature of Dialogue Interaction; 3.1.1 Dialogue is Temporal; 3.1.2 Dialogue is Dynamic; 3.2 Reinforcement Learning-based Dialogue Strategy Learning
    Description / Table of Contents: 3.2.1 Dialogue as a Markov Decision Process3.2.1.1 Representing Dialogue as a Markov Decision Process; 3.2.1.2 Partially Observable Markov Decision Processes for Strategy Learning; 3.2.2 The Reinforcement Learning Problem; 3.2.2.1 Elements of Reinforcement Learning; 3.2.2.2 Algorithms for Reinforcement Learning; 3.2.2.3 The Curse of Dimensionality, and State Space Reduction; 3.2.3 Model-based vs. Simulation-based Strategy Learning; 3.2.3.1 Model-based Reinforcement Learning; 3.2.3.2 Simulation-based Reinforcement Learning; 3.3 Dialogue Simulation; 3.3.1 Wizard-of-Oz Studies
    Description / Table of Contents: 3.3.2 Computer-based Simulations3.3.3 Discussion; 3.4 Application Domains; 3.4.1 Information-Seeking Dialogue Systems; 3.4.2 Multimodal Output Planning and Information Presentation; 3.4.3 Multimodal Dialogue Systems for In-Car Digital Music Players; 3.5 Summary; Chapter 4 Proof-of-Concept: Information Seeking Strategies; 4.1 Introduction; 4.1.1 A Proof-of-Concept Study; 4.2 Simulated Learning Environments; 4.2.1 Problem Representation; 4.2.2 Database Retrieval Simulations; 4.2.2.1 Monotonic Database Simulation; 4.2.2.2 Random Database Simulation; 4.2.3 Noise Model; 4.2.4 User Simulations
    Description / Table of Contents: 4.2.5 Objective and Reward Function
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  • 5
    ISBN: 9783540477495
    Language: English
    Pages: Online-Ressource
    Series Statement: Lecture Notes in Computer Science 2105
    Series Statement: SpringerLink
    Series Statement: Bücher
    Series Statement: Lecture notes in computer science
    Parallel Title: Buchausg. u.d.T.: The human society and the internet
    DDC: 303.48/34
    RVK:
    RVK:
    RVK:
    Keywords: Computer Communication Networks ; Computer Science ; Computer science ; Education ; Information systems ; Management information systems ; Konferenzschrift 2001 ; Konferenzschrift 2001 ; Internet ; Electronic Commerce ; Bildung ; Mobile Telekommunikation ; Mensch-Maschine-Kommunikation
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  • 6
    Online Resource
    Online Resource
    Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg
    ISBN: 9783540464228
    Language: English
    Pages: Online-Ressource
    Series Statement: Lecture Notes in Computer Science 1765
    Series Statement: SpringerLink
    Series Statement: Bücher
    Series Statement: Lecture notes in computer science
    Parallel Title: Buchausg. u.d.T.: Technologies, experiences, and future perspectives
    DDC: 004.67
    RVK:
    Keywords: Artificial intelligence ; Computer Communication Networks ; Computer Science ; Computer science ; Information systems
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