Spoken Natural Language Dialog Systems : a Practical Approach.

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As spoken natural language dialog systems technology continues to make great strides, numerous issues regarding dialog processing still need to be resolved. This book presents an exciting new dialog processing architecture that allows for a number of behaviors required for effective human-machine in...

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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: Oxford : Oxford University Press, 1994.
Temas:
Speech processing systems.
Natural language processing (Computer science)
Natural Language Processing
Traitement automatique de la parole.
Traitement automatique des langues naturelles.
Speech processing systems
Acceso en línea:Texto completo

MARC

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050 4 |a TK7895.S65.S658 1994 
082 0 4 |a 006.4/54 
049 |a UAMI 
100 1 |a Smith, Ronnie W. 
245 1 0 |a Spoken Natural Language Dialog Systems :  |b a Practical Approach. 
260 |a Oxford :  |b Oxford University Press,  |c 1994. 
300 |a 1 online resource (314 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
588 0 |a Print version record. 
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. 
500 |a 4.1.2 Tracing the Basic Steps. 
520 |a As spoken natural language dialog systems technology continues to make great strides, numerous issues regarding dialog processing still need to be resolved. This book presents an exciting new dialog processing architecture that allows for a number of behaviors required for effective human-machine interactions, including: problem-solving to help the user carry out a task, coherent subdialog movement during the problem-solving process, user model usage, expectation usage for contextual interpretation and error correction, and variable initiative behavior for interacting with users of differing e. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Speech processing systems. 
650 0 |a Natural language processing (Computer science) 
650 2 |a Natural Language Processing 
650 6 |a Traitement automatique de la parole. 
650 6 |a Traitement automatique des langues naturelles. 
650 7 |a Natural language processing (Computer science)  |2 fast 
650 7 |a Speech processing systems  |2 fast 
700 1 |a Hipp, D. Richard. 
776 0 8 |i Print version:  |a Smith, Ronnie W.  |t Spoken Natural Language Dialog Systems : A Practical Approach.  |d Oxford : Oxford University Press, ©1994 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4702181  |z Texto completo 
938 |a EBL - Ebook Library  |b EBLB  |n EBL4702181 
994 |a 92  |b IZTAP 

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