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 expertise. The book also details how different dialog problems in processing can be handled simultaneously, and provides instructions and in-depth result from pertinent experiments. Researchers and professionals in natural language systems will find this important new book an invaluable addition to their libraries.
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Book Description
Editorial Reviews
Review
"The system described in the book is impressive as one of a small number of complete and working spoken natural language dialogue systems that have been developed . . . . Many of the techniques in the book are interesting and well thought out, and should prompt useful discussion and further work. I would therefore recommend it to those working in computational linguistics who are concerned with practical issues, as a book to be read seriously but critically." --The Computer Journal
"It is nice to see these ideas put together and made to work for the teaching task."--User Modeling and User-Adapted Interaction
"The book is well organized, with useful figures and appendices, a good index and comprehensive references. ... The book offers a wonderful model for the presentation of a complex AI project." -- Computing Reviews
About the Author
Ronnie Smith is at East Carolina University. Richard Hipp is at Wyrick and Company, Inc..
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4.0 out of 5 stars
Interesting and unusual approach,
This review is from: Spoken Natural Language Dialog Systems: A Practical Approach (Hardcover)
This book provides an interesting approach to the problem of mixed-initiative dialog systems. The example is always present and helps to understand. It describes a prolog-based task oriented dialog system in which the missing axiom paradigm is used to reach the goal of each dialog system : make the user happy. Really interesting and helpful ...
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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missing axiom theory, variable initiative behavior, minus com hole, user model axioms, aij using algorithm, dialog controller, utterance cost, dialog coherence, clarification subdialog, wire between connectors, utterance specification, dialog expectation, user modeling module, domain processor, missing axiom, dialog processor, reopened context, new subdialog, dialog processing, user model information, achievable subgoal, input lattice, main task step, computer utterance, infer that the user Key Phrases - Capitalized Phrases (CAPs): (learn more)
Computational Model, Foundational Work, Integrated Dialog Processing, Dialog Processing Theory, System Implementation, Experimental Results, Goal Completion Algorithm, Comparative Data, Percent Correct, Main Example, Achieving Spoken Communication, Enhanced Dialog Processing, Verifying Doubtful Inputs, Percent Over-verified, Percent Under-verified Figure, Choose Component, Radio Shack, Comparative Results, Random Selection, Extending the State of the Art, Main Results, Exploiting Dialog Context, Average Utterances, Example System Dialog Interaction, Computer Initiative Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
missing axiom theory, variable initiative behavior, minus com hole, user model axioms, aij using algorithm, dialog controller, utterance cost, dialog coherence, clarification subdialog, wire between connectors, utterance specification, dialog expectation, user modeling module, domain processor, missing axiom, dialog processor, reopened context, new subdialog, dialog processing, user model information, achievable subgoal, input lattice, main task step, computer utterance, infer that the user Key Phrases - Capitalized Phrases (CAPs): (learn more)
Computational Model, Foundational Work, Integrated Dialog Processing, Dialog Processing Theory, System Implementation, Experimental Results, Goal Completion Algorithm, Comparative Data, Percent Correct, Main Example, Achieving Spoken Communication, Enhanced Dialog Processing, Verifying Doubtful Inputs, Percent Over-verified, Percent Under-verified Figure, Choose Component, Radio Shack, Comparative Results, Random Selection, Extending the State of the Art, Main Results, Exploiting Dialog Context, Average Utterances, Example System Dialog Interaction, Computer Initiative Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Citations (learn more)
6
books
cite this book:
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- Computational Models of Mixed-Initiative Interaction by Susan Haller in Front Matter, and page 143
- Dialogue Processing in Spoken Language Systems: ECAI'96, Workshop, Budapest, Hungary, August 13, 1996, Revised Papers (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) by Elisabeth Meier on page 155, and Back Matter
- Advanced Man-Machine Interaction: Fundamentals and Implementation (Signals and Communication Technology) by Karl-Friedrich Kraiss on page 190
- Text, Speech and Dialogue: Third International Workshop, TSD 2000 Brno, Czech Republic, September 13-16, 2000 Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) by Petr Sojka on page 432
- Voice Interaction Design: Crafting the New Conversational Speech Systems (Morgan Kaufmann Series in Interactive Technologies) by Randy Allen Harris in Back Matter
See all 6 books citing this book
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