The symposium on which this volume was based brought together
approximately fifty scientists from a variety of backgrounds to
discuss the rapidly-emerging set of competing technologies for
exploiting a massive quantity of textual information. This group
was challenged to explore new ways to take advantage of the power
of on-line text. A billion words of text can be more generally
useful than a few hundred logical rules, if advanced computation
can extract useful information from streams of text and help find
what is needed in the sea of available material. While the
extraction task is a hot topic for the field of natural language
processing and the retrieval task is a solid aspect in the field of
information retrieval, these two disciplines came together at the
symposium and have been cross-breeding more than ever. The book is
organized in three parts. The first group of papers describes the
current set of natural language processing techniques used for
interpreting and extracting information from quantities of text.
The second group gives some of the historical perspective,
methodology, and current practice of information retrieval work;
the third covers both current and emerging applications of these
techniques. This collection of readings should give students and
scientists alike a good idea of the current techniques as well as a
general concept of how to go about developing and testing systems
to handle volumes of text.
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