Strategies for Natural Language Processing

By Wendy G. Lehnert; Martin H. Ringle | Go to book overview

Notes on Contributors

James Allen received his Ph.D. in computer science from the University of Toronto in 1979, and since then has been an Assistant Professor of Computer Science at the University of Rochester. His main research interest is artificial intelligence, and, in particular, concerns the characterization of the knowledge and inference processes that are needed to account for understanding natural language.

Lawrence Birnbaum is a graduate of Yale University and a graduate student in the Department of Computer Science at Yale. His research interests include natural language analysis, discourse processing, and argumentation strategies.

Bertram Bruce is currently Associate Director of the National Institute of Education supported Center for the study of Reading. His research for the Center has been on problems of comprehension in oral and written language from the perspective of computational models of language understanding. Dr. Bruce is also currently co-director of a project to develop a microcomputer based curriculum for teaching writing to elementary school children. He was a member of the BBN speech understanding project for two years, doing work in the areas of discourse models, pragmatics, inference, and both written and spoken language generation.

Prior to his work at BBN, Dr. Bruce was an Assistant Professor of Computer Science at Rutgers University for three years, doing research on computer understanding of natural language. The CHRONOS and BELIEVER natural language understanding systems were developed as part of this research.

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Strategies for Natural Language Processing
Table of contents

Table of contents

  • Title Page iii
  • Contents vii
  • Preface xiii
  • Abstracts xvii
  • I - Introduction 1
  • 1 - The State of the Art In Natural-Language Understanding 3
  • Acknowledgments 30
  • References 30
  • II - Implementation Issues 33
  • 2 - Realistic Language Comprehension 37
  • References 53
  • 3 - Natural Communication Between Person and Computer 55
  • Acknowledgments 86
  • References 86
  • 4 - Parsing and Comprehending With Word Experts (a Theory And Its Realization) 89
  • Acknowledgments 147
  • References 147
  • 5 - An Overview of the Frump System 149
  • Acknowledgments 175
  • References 175
  • 6 - A Framework for Conceptual Analyzers 177
  • References 196
  • III - Conversation And Discourse 199
  • 7 - Conversation Failure 203
  • References 220
  • 8 - Towards an Understanding Of Coherence in Discourse 223
  • Acknowledgments 242
  • References 242
  • 9 - Beyond Question Answering 245
  • Acknowledgments 271
  • References 271
  • 10 - Adversary Arguments and The Logic of Personal Attacks 275
  • Acknowledgments 293
  • References 294
  • IV - Knowledge Representation 295
  • 11 - Inference and Learning In Computer Model of The Development of Language Comprehension in a Young Child 299
  • Acknowledgments 325
  • References 325
  • 12 - Inferring Building Blocks For Knowledge Representation 327
  • Acknowledgments 343
  • References 343
  • 13 - Points: A Theory of the Structure Of Stories in Memory 345
  • References 373
  • 14 - Plot Units: a Narrative Summarization Strategy 375
  • Acknowledgments 411
  • References 411
  • V - Theoretical Issues 413
  • 15 - Metaphor: an Inescapable Phenomenon In Natural-Language Comprehension 415
  • Acknowledgments 432
  • References 433
  • 16 - Context Recognition In Language Cornprehension 435
  • Acknowledgments 453
  • References 453
  • 17 - Reminding and Memory Organization: an Introduction To Mops 455
  • Acknowledgments 493
  • References 493
  • 18 - Some Thoughts on Procedural Semantics 495
  • Acknowledgments 515
  • Notes on Contributors 517
  • Subject Index 523
  • Index 529
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