Contextual Computing : Models and Applications, Paperback by Porzel, Robert, ...
$ 63.51
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Contextual Computing : Models and Applications, Paperback by Porzel, Robert, .... 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. Consequently th examines the individual contributions of contextual composing for different types of context. Contextual Computing : Models and Applications, Paperback by Porzel, Robert, ISBN 3642266150, ISBN-13 9783642266157, Brand New, Free shipping in the US 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 th 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. “Th 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, th 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
