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Ontologies and adaptivity in dialogue for question answering /

Question answering (QA) has become one of the fastest growing topics in computational linguistics and information access. To advance research in the area of dialogue-based question answering, we propose a combination of methods from different scientific fields (i.e., Information Retrieval, Dialogue...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Sonntag, Daniel (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Heidelberg : AKA : IOS Press, [2010]
Colección:Studies on the Semantic Web.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Ontologies and adaptivity in dialogue for question answering /  |c Daniel Sonntag. 
264 1 |a Heidelberg :  |b AKA :  |b IOS Press,  |c [2010] 
264 4 |c ©2010 
300 |a 1 online resource (xi, 410 pages) :  |b illustrations (some color) 
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504 |a Includes bibliographical references (pages 377-410). 
588 0 |a Print version record. 
505 0 |a Title Page; Contents; Preface; Prologue; Part I. Introduction and Scientific Background; Chapter 1. Introduction; Motivation -- Why this book?; Who should read this book?; SmartWeb System; Roadmap; Chapter 2. Scientific Background; Natural Language Processing; Dialogue Systems; Information Retrieval; Question Answering; Ontologies; Metacognition and Introspection; Machine Learning; Standards; Related Systems; Summary; Part II. Ontologies and Dialogue-Based QA; Chapter 3. Ontology-Based Dialogue Processing; Integration Framework; Semantic Web Knowledge Structures 
505 8 |a A Pattern Language for Interaction Design Related Research; Summary; Chapter 4. Dialogue Management; Dialogue Constraints; Reaction and Presentation Manager; Summary; Part III. Introspection and Dialogue Adaptation; Chapter 5. Introspective Mechanism; Metadata Management; Introspective Control; Learner Pool; Verification of Introspective Methods; Summary; Chapter 6. Adaptable Dialogue Management; Dimensions of Adaptivity; Complex Decision Making Process; Dialogue Information State; Related Research; Summary; Chapter 7. Evaluation; Evaluation Methodology; Evaluation Types; Data Characteristics 
505 8 |a Evaluation Measures Data Sets and the Groundwork hypothesis; Introspection and the Mining hypothesis; Introspection and the Adaptation hypothesis; Introspection and the Feedback hypothesis; Dialogue Level Integration; Summary; Chapter 8. Further Applications; Application Potentials; Semantic Mediation in THESEUS; Prototype Integration; Semantic Navigation; Summary; Epilogue; Bibliography 
520 |a Question answering (QA) has become one of the fastest growing topics in computational linguistics and information access. To advance research in the area of dialogue-based question answering, we propose a combination of methods from different scientific fields (i.e., Information Retrieval, Dialogue Systems, Semantic Web, and Machine Learning). This book sheds light on adaptable dialogue-based question answering. We demonstrate the technical and computational feasibility of the proposed ideas, the introspective methods in particular, by beginning with an extensive introduction to the dialogical. 
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650 0 |a Semantic Web. 
650 0 |a Dialogue analysis. 
650 0 |a Ontology. 
650 6 |a Web sémantique. 
650 6 |a Analyse du dialogue. 
650 6 |a Ontologie. 
650 7 |a ontology (metaphysics)  |2 aat 
650 7 |a LANGUAGE ARTS & DISCIPLINES  |x Linguistics  |x Historical & Comparative.  |2 bisacsh 
650 7 |a Dialogue analysis  |2 fast 
650 7 |a Ontology  |2 fast 
650 7 |a Semantic Web  |2 fast 
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