Understanding language understanding : computational models of reading /

The book takes an interdisciplinary approach to the study of reading, with contributions from computer science, psychology, and philosophy. This book highlights cutting-edge research relevant to the building of a computational model of reading comprehension, as in the processing and understanding of...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Ram, Ashwin, Moorman, Kenneth
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, Mass. : MIT Press, ©1999.
©1999
Colección:Language, speech, and communication.
Temas:
Psycholinguistics > Data processing.
Reading > Data processing.
Comprehension > Data processing.
Reading machines (Data processing equipment)
Psycholinguistique > Informatique.
Lecteurs de documents.
Compréhension > Informatique.
Lecture > Informatique.
LANGUAGE ARTS & DISCIPLINES > Linguistics > Psycholinguistics.
Reading comprehension.
Natural language processing (Computer science)
Comprehension > Data processing
Psycholinguistics > Data processing
Reading > Data processing
Computermodellen.
Begrijpend lezen.
Verhalen.
Taalpsychologie.
LINGUISTICS & LANGUAGE/General
Acceso en línea:Texto completo
Descripción
Sumario:The book takes an interdisciplinary approach to the study of reading, with contributions from computer science, psychology, and philosophy. This book highlights cutting-edge research relevant to the building of a computational model of reading comprehension, as in the processing and understanding of a natural language text or story. A distinguishing feature of the book is its emphasis on "real" understanding of "real" narrative texts rather than on syntactic parsing of single sentences taken out of context or on limited understanding of small, researcher-constructed stories. The book takes an interdisciplinary approach to the study of reading, with contributions from computer science, psychology, and philosophy. Contributors cover the theoretical and psychological foundations of the research in discussions of what it means to understand a text, how one builds a computational model, and related issues in knowledge representation and reasoning. The book also addresses some of the broader issues that a natural language system must deal with, such as reading in context, linguistic novelty, and information extraction. ContributorsDorrit Billman, Michael T. Cox, Eric Domeshek, Kurt Eiselt, Charles R. Fletcher, Richard Gerrig, Jennifer Holbrook, Eric Jones, Trent Lange, Mark Langston, Joe Magliano, Kavi Mahesh, Bonnie J.F. Meyer, Justin Peterson, William J. Rapaport, Ellen Riloff, Stuart C. Shapiro, Tom Trabasso, Charles M. Wharton
Notas:"A Bradford book."
Descripción Física:1 online resource (xvii, 499 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:0585102376
9780585102375
0262282054
9780262282055
Acceso:Access restricted to Ryerson students, faculty and staff.

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