Understanding language understanding : computational models of reading / edited by Ashwin Ram and Kenneth Moorman.

"A Bradford book."

Includes bibliographical references and index.

About the Editors -- About the Authors -- Foreword / Walter Kintsch -- 1. Introduction: Toward a Theory of Reading and Understanding / Ashwin Ram and Kenneth Moorman -- 2. Cognition and Fiction / William J. Rapaport and Stuart C. Shapiro -- 3. Sentence Processing in Understanding: Interaction and Integration of Knowledge Sources / Kavi Mahesh, Kurt P. Eiselt and Jennifer K. Holbrook -- 4. Capturing the Contents of Complex Narratives / Eric Domeshek, Eric Jones and Ashwin Ram -- 5. Retrieval from Episodic Memory by Inferencing and Disambiguation / Trent E. Lange and Charles M. Wharton -- 6. A Connectionist Model of Narrative Comprehension / Mark C. Langston, Tom Trabasso and Joseph P. Magliano -- 7. Importance of Text Structure in Everyday Reading / Bonnie J.F. Meyer -- 8. A Theory of Questions and Question Asking / Ashwin Ram -- 9. Semantic Correspondence Theory / Justin Peterson and Dorrit Billman -- 10. Creativity in Reading: Understanding Novel Concepts / Kenneth Moorman and Ashwin Ram -- 11. On the Intersection of Story Understanding and Learning / Michael T. Cox and Ashwin Ram -- 12. Information Extraction as a Stepping Stone toward Story Understanding / Ellen Riloff -- 13. Text Processing and Narrative Worlds / Richard J. Gerrig -- 14. Computational Models of Reading and Understanding: What Good Are They? / Charles R. Fletcher -- Index.

Print version record.

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English.

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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.

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