Text-Based Intelligent Systems: Current Research and Practice in Information Extraction and Retrieval

By Paul S. Jacobs | Go to book overview

Text-Based Intelligent Systems: Current Research and Practice in Information Extraction and Retrieval

Edited by Paul S. Jacobs Artificial Intelligence Laboratory GE Research and Development Center

LAWRENCE ERLBAUM ASSOCIATES, PUBLISHERS 1992 Hillsdale, New Jersey Hove and London

-iii-

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Text-Based Intelligent Systems: Current Research and Practice in Information Extraction and Retrieval
Table of contents

Table of contents

  • Title Page iii
  • Contents v
  • Preface vii
  • Introduction: Text Power and Intelligent Systems 1
  • Abstract 8
  • Bibliography 8
  • Part I Broad-Scale NLP 9
  • Robust Processing of Real-World Natural-Language Texts 13
  • Abstract 13
  • Introduction 13
  • Conclusion 30
  • Acknowledgments 31
  • Bibliography 31
  • Combining Weak Methods in Large-Scale Text Processing 35
  • Conclusion 54
  • Bibliography 55
  • Mixed-Depth Representations for Natural Language Text 59
  • Conclusion 79
  • Acknowledgments 79
  • Bibliography 79
  • Robust Partial-Parsing Through Incremental, Multi-Algorithm Processing 83
  • Introduction 83
  • Bibliography 97
  • Corpus-Based Thematic Analysis 101
  • Abstract 101
  • Conclusions 119
  • Bibliography 119
  • Part II "Traditional" Information Retrieval 123
  • Text Retrieval and Inference 127
  • Abstract 127
  • Introduction 127
  • Bibliography 149
  • Assumptions and Issues in Text-Based Retrieval 157
  • Introduction 157
  • Conclusion 172
  • Bibliography 174
  • Text Representation for Intelligent Text Retrieval: A Classification-Oriented VIew 179
  • Introduction 179
  • Conclusion 193
  • Acknowledgments 193
  • Bibliography 194
  • Automatic Text Structuring Experiments 199
  • Abstract 199
  • Part III Emerging Applications 211
  • Statistical Methods, Artificial Intelligence, and Information Retrieval 215
  • Introduction 215
  • Bibliography 222
  • Intelligent High-Volume Text Processing Using Shallow, Domain-Specific Techniques 227
  • Abstract 227
  • Conclusion 239
  • Bibliography 240
  • Automatically Constructing Simple Help Systems from Natural Language Documentation 243
  • Abstract 243
  • Introduction 244
  • Conclusion 254
  • Bibliography 254
  • Direction-Based Text Interpretation as An Information Access Refinement 257
  • Abstract 257
  • Introduction 257
  • Conclusions 272
  • Acknowledgments 273
  • Bibliography 273
  • Index 275
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