000 03928nam a22004935i 4500
001 978-3-642-17396-7
003 DE-He213
005 20140220083750.0
007 cr nn 008mamaa
008 101125s2011 gw | s |||| 0|eng d
020 _a9783642173967
_9978-3-642-17396-7
024 7 _a10.1007/978-3-642-17396-7
_2doi
050 4 _aT57-57.97
072 7 _aPBW
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aPorzel, Robert.
_eauthor.
245 1 0 _aContextual Computing
_h[electronic resource] :
_bModels and Applications /
_cby Robert Porzel.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _aXI, 180 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aCognitive Technologies,
_x1611-2482
505 0 _a1. The Problem of Understanding -- 2. State of the Art -- 3. Domain and Discourse -- 4. User and Situation -- 5. Conclusion -- References .
520 _aRecent 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   http://dm.tzi.de/research/contextual-computing/
650 0 _aMathematics.
650 0 _aArtificial intelligence.
650 0 _aTranslators (Computer programs).
650 0 _aComputational linguistics.
650 1 4 _aMathematics.
650 2 4 _aApplications of Mathematics.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aComputational Linguistics.
650 2 4 _aLanguage Translation and Linguistics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642173950
830 0 _aCognitive Technologies,
_x1611-2482
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-17396-7
912 _aZDB-2-SCS
999 _c107248
_d107248