Contextual Computing
-14 %

Contextual Computing

Models and Applications
 Previously published in hardcover
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Previously published in hardcover
Robert Porzel
299 g
235x155x10 mm

This book uses the latest in knowledge representation and human-computer interaction to address the problem of contextual computing in artificial intelligence. It uses high-level context to solve some challenging problems in natural language understanding.
The monograph explores the use of context in NLP through a range of demonstrations and experiments.
A significant and timely contribution to the field of Contextual Computing.
This book is a novel and insightful investigation into the potential of contextual information processing in NLP.
1. The Problem of Understanding .- 2. State of the Art.- 3. Domain and Discourse.- 4. User and Situation.- 5. Conclusion.- References .
Recent advances in the fields of knowledge representation, reasoning and human-computer interaction have paved the way for a novel approach to treating and handling context. The field of research presented in this book addresses the problem of contextual computing in artificial intelligence based on the state of the art in knowledge representation and human-computer interaction. The author puts forward a knowledge-based approach for employing high-level context in order to solve some persistent and challenging problems in the chosen showcase domain of natural language understanding. Specifically, the problems addressed concern the handling of noise due to speech recognition errors, semantic ambiguities, and the notorious problem of underspecification. Consequently the book examines the individual contributions of contextual composing for different types of context. Therefore, contextual information stemming from the domain at hand, prior discourse, and the specific user and real world situation are considered and integrated in a formal model that is applied and evaluated employing different multimodal mobile dialog systems.
This book is intended to meet the needs of readers from at least three fields - AI and computer science; computational linguistics; and natural language processing - as well as some computationally oriented linguists, making it a valuable resource for scientists, researchers, lecturers, language processing practitioners and professionals as well as postgraduates and some undergraduates in the aforementioned fields.

"The book addresses a problem of great and increasing technical and practical importance - the role of context in natural language processing (NLP). It considers the role of context in three important tasks: Automatic Speech Recognition, Semantic Interpretation, and Pragmatic Interpretation. Overall, the book represents a novel and insightful investigation into the potential of contextual information processing in NLP."

Jerome A Feldman, Professor of Electrical Engineering and Computer Science, UC Berkeley, USA