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

ISBN-13: 9781138988712 / Angielski / Miękka / 2016 / 290 str.

Jacobs, Paul S.

Opis

Current Research and Practice in information Extraction and Retrieval. First Published in 1992. Routledge is an imprint of Taylor amp Francis, an informa company.

Recenzje

"...[the papers] provide a very clear picture of the state of the art of text processing today....It is a well rounded collection demonstrating a variety of approaches....the authors seem to have a clear understanding of the scope and limitations of their findings....The work comes at an opportune time....these papers contain a great deal of value, aiding the reader in making informed judgments about the direction in which efforts to develop large-scale text-based systems are heading."
—Information Processing & Management

"The overall quality of the papers is good....they give a clear conceptual background for the research, justifying the importance of the themes presented....Sufficient details and examples are provided...The organization of the book works..."
—Computational Linguistics

"....addresses computer-based text understanding from a practical perspective that...provide[s] examples and insights into what is now happening in research laboratories and may be expected to influence available tools in the next few years....The chapters in all sections are rich in examples and give some detail about the techniques being used. Anyone involved in the analysis of textual material will find stimulating examples of new methodologies in this book."
—Contemporary Psychology

Spis treści

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.

O autorze

Paul S. Jacobs