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...
Gespeichert in:
| 1. Verfasser: | |
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| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York :
Oxford University Press,
1994.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource (xiv, 299 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 1601299974 9781601299970 9780195357912 0195357914 9780195091878 0195091876 1280449853 9781280449857 |
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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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| 347 | |a data file | ||
| 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. | |
| 650 | 0 | |a Speech processing systems. | |
| 650 | 0 | |a Natural language processing (Computer science) |0 http://id.loc.gov/authorities/subjects/sh88002425 | |
| 650 | 6 | |a Traitement automatique de la parole. | |
| 650 | 6 | |a Traitement automatique des langues naturelles. | |
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| 650 | 7 | |a Natural language processing (Computer science) |2 fast | |
| 650 | 7 | |a Speech processing systems |2 fast | |
| 653 | 0 | |a Computers |a Use of |a Natural language | |
| 700 | 1 | |a Hipp, D. Richard. | |
| 776 | 0 | 8 | |i Print version: |a Smith, Ronnie W. |t Spoken natural language dialog systems. |d New York : Oxford University Press, 1994 |w (DLC) 94017053 |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn228118504 |
|---|---|
| _version_ | 1816881665927020544 |
| adam_text | |
| any_adam_object | |
| author | Smith, Ronnie W. |
| author2 | Hipp, D. Richard |
| author2_role | |
| author2_variant | d r h dr drh |
| author_facet | Smith, Ronnie W. Hipp, D. Richard |
| author_role | |
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| callnumber-first | T - Technology |
| callnumber-label | TK7895 |
| callnumber-raw | TK7895.S65 S62 1994eb |
| callnumber-search | TK7895.S65 S62 1994eb |
| callnumber-sort | TK 47895 S65 S62 41994EB |
| callnumber-subject | TK - Electrical and Nuclear Engineering |
| collection | ZDB-4-EBA |
| contents | 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. 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. 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. 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. 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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Smith, D. Richard Hipp.</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">New York :</subfield><subfield code="b">Oxford University Press,</subfield><subfield code="c">1994.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (xiv, 299 pages) :</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="a">data file</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Print version record.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="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.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Speech processing systems.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Natural language processing (Computer science)</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh88002425</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Traitement automatique de la parole.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Traitement automatique des langues naturelles.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS</subfield><subfield code="x">Optical Data Processing.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Natural language processing (Computer science)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Speech processing systems</subfield><subfield code="2">fast</subfield></datafield><datafield tag="653" ind1="0" ind2=" "><subfield code="a">Computers</subfield><subfield code="a">Use of</subfield><subfield code="a">Natural language</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hipp, D. 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| id | ZDB-4-EBA-ocn228118504 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:16:20Z |
| institution | BVB |
| isbn | 1601299974 9781601299970 9780195357912 0195357914 9780195091878 0195091876 1280449853 9781280449857 |
| language | English |
| oclc_num | 228118504 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xiv, 299 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 1994 |
| publishDateSearch | 1994 |
| publishDateSort | 1994 |
| publisher | Oxford University Press, |
| record_format | marc |
| spelling | Smith, Ronnie W. Spoken natural language dialog systems : a practical approach / Ronnie W. Smith, D. Richard Hipp. New York : Oxford University Press, 1994. 1 online resource (xiv, 299 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Includes bibliographical references and index. Print version record. 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. 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. 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. 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. 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. 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. Speech processing systems. Natural language processing (Computer science) http://id.loc.gov/authorities/subjects/sh88002425 Traitement automatique de la parole. Traitement automatique des langues naturelles. COMPUTERS Optical Data Processing. bisacsh Natural language processing (Computer science) fast Speech processing systems fast Computers Use of Natural language Hipp, D. Richard. Print version: Smith, Ronnie W. Spoken natural language dialog systems. New York : Oxford University Press, 1994 (DLC) 94017053 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=143875 Volltext |
| spellingShingle | Smith, Ronnie W. Spoken natural language dialog systems : a practical approach / 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. 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. 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. 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. 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. Speech processing systems. Natural language processing (Computer science) http://id.loc.gov/authorities/subjects/sh88002425 Traitement automatique de la parole. Traitement automatique des langues naturelles. COMPUTERS Optical Data Processing. bisacsh Natural language processing (Computer science) fast Speech processing systems fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh88002425 |
| title | Spoken natural language dialog systems : a practical approach / |
| title_auth | Spoken natural language dialog systems : a practical approach / |
| title_exact_search | Spoken natural language dialog systems : a practical approach / |
| title_full | Spoken natural language dialog systems : a practical approach / Ronnie W. Smith, D. Richard Hipp. |
| title_fullStr | Spoken natural language dialog systems : a practical approach / Ronnie W. Smith, D. Richard Hipp. |
| title_full_unstemmed | Spoken natural language dialog systems : a practical approach / Ronnie W. Smith, D. Richard Hipp. |
| title_short | Spoken natural language dialog systems : |
| title_sort | spoken natural language dialog systems a practical approach |
| title_sub | a practical approach / |
| topic | Speech processing systems. Natural language processing (Computer science) http://id.loc.gov/authorities/subjects/sh88002425 Traitement automatique de la parole. Traitement automatique des langues naturelles. COMPUTERS Optical Data Processing. bisacsh Natural language processing (Computer science) fast Speech processing systems fast |
| topic_facet | Speech processing systems. Natural language processing (Computer science) Traitement automatique de la parole. Traitement automatique des langues naturelles. COMPUTERS Optical Data Processing. Speech processing systems |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=143875 |
| work_keys_str_mv | AT smithronniew spokennaturallanguagedialogsystemsapracticalapproach AT hippdrichard spokennaturallanguagedialogsystemsapracticalapproach |