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Spoken natural language dialog systems : a practical approach /

This book addrsesses the dialog issues that must be resolved in building effective spoken natural language dialog systems. The authors present an architecture for dialog processing for which an implementation has been constructed that exhibits a number of behaviours required for efficient human-mach...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Smith, Ronnie W.
Otros Autores: Hipp, D. Richard
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Oxford University Press, 1994.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Smith, Ronnie W. 
245 1 0 |a Spoken natural language dialog systems :  |b a practical approach /  |c Ronnie W. Smith, D. Richard Hipp. 
260 |a New York :  |b Oxford University Press,  |c 1994. 
300 |a 1 online resource (xiv, 299 pages) :  |b illustrations 
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504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
520 |a This book addrsesses the dialog issues that must be resolved in building effective spoken natural language dialog systems. The authors present an architecture for dialog processing for which an implementation has been constructed that exhibits a number of behaviours required for efficient human-machine dialog including: problem-solving to help the user carry out a task, coherent sub-dialog movement during the problem-solving process, user model usage, expectation usage for contextual interpretation and error correction, variable initiative behaviour for interacting with users of differing expertise. Readers should gain an understanding of how to construct a spoken natural language dialog system capable of exhibiting the necessary behaviours for effective human-computer natural language interaction. 
505 0 |a 1 Achieving Spoken Communication with Computers; 1.1 Problem Solving Environment: Task-Oriented Dialogs; 1.2 Integrating Dialog with Task Assistance: The Target Behaviors; 1.2.1 Problem Solving to Achieve a Goal; 1.2.2 Subdialogs and Effective Movement Between Them; 1.2.3 Accounting for User Knowledge and Abilities; 1.2.4 Expectation of User Input; 1.2.5 Variable Initiative; 1.2.6 Integrated Behavior Via the Missing Axiom Theory; 1.3 Preliminary Study; 1.4 An Outline of the Book; 2 Foundational Work in Integrated Dialog Processing; 2.1 Problem Solving in an Interactive Environment. 
505 8 |a 2.2 Language Use in a Problem-Solving Environment2.2.1 The Missing Axiom Theory; 2.2.2 Speech Act Theory; 2.2.3 Computational Speech Act Theory: Analyzing Intentions; 2.2.4 Differing Subdialog Purposes: The Plan-Based Theory of Litman and Allen; 2.2.5 Collective Intentions; 2.3 User Model; 2.3.1 General User Modeling Architecture; 2.3.2 Using User Model Information in Generation; 2.3.3 Acquiring User Model Information; 2.4 Expectation Usage; 2.4.1 Speech Recognition; 2.4.2 Plan Recognition; 2.5 Variable Initiative Theory; 2.5.1 Defining Initiative. 
505 8 |a 2.5.2 Discourse Structure in Variable Initiative Dialogs2.5.3 Plan Recognition for Variable Initiative Dialog; 2.6 Integrated Dialog Processing Theory; 2.6.1 Subdialog Switching: Reichman's Conversational Moves; 2.6.2 Beyond Speech Acts: Conversation Acts of Traum and Hinkelman; 2.6.3 Integrated Discourse Structure: The Tripartite Model of Grosz and Sidner; 2.7 Dialog Systems; 2.7.1 Requirements; 2.7.2 Portable Systems; 2.7.3 Question-Answer Systems: Keyboard Input; 2.7.4 Spoken Input Systems; 2.7.5 A Discourse System; 2.7.6 Variable Initiative Systems; 2.8 Summary; 3 Dialog Processing Theory. 
505 8 |a 3.1 System Architecture3.2 Modeling Interactive Task Processing; 3.2.1 Computer and User Prerequisites; 3.2.2 A Domain-Independent Language for Describing Goals, Actions, and States; 3.2.3 Robust Selection of Task Steps; 3.2.4 Determining Task Step Completion; 3.2.5 What About Dialog?; 3.3 Integrating Task Processing with Dialog: The Missing Axiom Theory; 3.3.1 The Role of Language: Supplying Missing Axioms; 3.3.2 Interruptible Theorem Proving Required Ò!IPSIM; 3.4 Exploiting Dialog Context: User Model; 3.4.1 Accounting for User Knowledge and Abilities. 
505 8 |a 3.4.2 Computing Inferences from User Input3.4.3 User Model Usage: Integrating Task Processing with Dialog; 3.5 Exploiting Dialog Context: Input Expectations; 3.5.1 Foundations of Expectation-Driven Processing; 3.5.2 Using Expectation-Driven Processing; 3.6 A Theory of Variable Initiative Dialog; 3.6.1 Defining Variable Initiative and Dialog Mode; 3.6.2 Response Formulation in Variable Initiative Dialog; 3.7 Putting the Pieces Together; 3.7.1 What Is a Dialog?; 3.7.2 Integrated Theory; 4 Computational Model; 4.1 Dialog Processing Algorithm; 4.1.1 Motivation and Basic Steps. 
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650 0 |a Speech processing systems. 
650 0 |a Natural language processing (Computer science) 
650 6 |a Traitement automatique de la parole. 
650 6 |a Traitement automatique des langues naturelles. 
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