- Save 10% on Books for Schools offered by Amazon.co.uk when you purchase 10 or more of the same book. Here's how (terms and conditions apply) Enter code SCHOOLS2016 at checkout. Here's how (terms and conditions apply)
Contextual Computing: Models and Applications (Cognitive Technologies) Hardcover – 30 Nov 2010
- Choose from over 13,000 locations across the UK
- Prime members get unlimited deliveries at no additional cost
- Find your preferred location and add it to your address book
- Dispatch to this address when you check out
Special Offers and Product Promotions
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
To get the free app, enter your mobile phone number.
From the reviews:
“This book begins with a literature survey of existing works on knowledge modelling and recent developments in human-computer interfaces pertaining to the issue of handling natural languages. … Readers will find a very satisfactory model for pragmatic knowledge and the corresponding ontological design pattern presented in this book. Overall, the pace of the development is comfortable even to a novice in the area of NLP.” (Weng Kin Ho, Zentralblatt MATH, Vol. 1225, 2012)
From the Back Cover
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
Look for similar items by category
- Books > Computing & Internet > Computer Science > Artificial Intelligence
- Books > Computing & Internet > Programming > Algorithms
- Books > Science & Nature > Mathematics > Applied Mathematics
- Books > Science & Nature > Popular Science > Maths
- Books > Scientific, Technical & Medical > Mathematics > Applied Mathematics
- Books > Society, Politics & Philosophy > Social Sciences > Linguistics > Reference