Contents: P.S. Jacobs, Introduction: Text Power and Intelligent Systems. Part I:Broad-Scale NLP.J.R. Hobbs, D.E. Appelt, J. Bear, M. Tyson, D. Magerman, Robust Processing of Real-World Natural-Language Texts. Y. Wilks, L. Guthrie, J. Guthrie, J. Cowie, Combining Weak Methods in Large-Scale Text Processing. G. Hirst, M. Ryan, Mixed-Depth Representations for Natural Language Text. D.D. McDonald, Robust Partial-Parsing Through Incremental, Multi-Algorithm Processing. Corpus-Based Thematic Analysis. Part II:"Traditional" Information Retrieval.W.B. Croft, H.R. Turtle, Text Retrieval and Inference. K.S. Jones, Assumptions and Issues in Text-Based Retrieval. D.D. Lewis, Text Representation for Intelligent Text Retrieval: A Classification-Oriented View. G. Salton, C. Buckley, Automatic Text Structuring Experiments. Part III:Emerging Applications.C. Stanfill, D.L. Waltz, Statistical Methods, Artificial Intelligence, and Information Retrieval. P.J. Hayes, Intelligent High-Volume Text Processing Using Shallow, Domain-Specific Techniques. Y.S. Maarek, Automatically Constructing Simple Help Systems from Natural Language Documentation. M.A. Hearst, Direction-Based Text Interpretation as an Information Access Refinement.