We present a hybrid text mining
method for finding abbreviations and
their definitions in free format texts. To
deal with the problem, this method
employs pattern-based abbreviation
rules in addition to text markers and cue
words. The pattern-based rules describe
how abbreviations are formed from
definitions. Rules can be generated
automatically and/or manually and can
be augmented when the system
processes new documents. The
proposed method has the advantages of
high accuracy, high flexibility, wide
coverage, and fast recognition.