Understanding Language Understanding: Computational Models of Reading

Edited by Ashwin Ram and Kenneth Moorman

Table of Contents

• Preface by Walter Kintsch
• About the editors
• About the authors
• Chapter 1 (Introduction):

Towards a Computational Theory of Reading and Understanding, Ram, Moorman
• Chapter 2 (Foundations):

Cognition and Fiction, Rapaport, Shapiro
• Chapter 3 (Sentence Processing):

Sentence Understanding in Understanding: Interaction and Integration of Knowledge Sources, Mahesh, Eiselt, Holbrook
• Chapter 4 (Knowledge Representation):

Capturing the Content of Complex Narratives, Domeshek, Jones, Ram
• Chapter 5 (Memory and Inference):

Retrieval From Episodic Memory by Inferencing and Disambiguation, Lange, Wharton
• Chapter 6 (Inference and Comprehension):

A Connectionist Model of Narrative Comprehension, Langston, Trabasso, Magliano
• Chapter 7 (Contextualization: Text Structure):

The Importance of Text Structure in Everyday Reading, Meyer
• Chapter 8 (Contextualization: Goals):

A Theory of Questions and Question Asking, Ram
• Chapter 9 (Linguistic Novelty):

Semantic Correspondence Theory, Peterson, Billman
• Chapter 10 (Conceptual Novelty and Creativity):

Creativity in Reading: Understanding Novel Concepts, Moorman, Ram
• Chapter 11 (Metareasoning and Learning):

On the Intersection of Story Understanding and Learning, Cox, Ram
• Chapter 12 (Alternative Approaches):

Information Extraction as a Stepping Stone toward Story Understanding, Riloff
• Chapter 13 (Foundations Revisted):

Text processing and Narrative Worlds, Gerrig
• Chapter 14 (Commentary):

Computational Models of Reading and Understanding: What Good Are They?, Fletcher