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.
REF combine mechanisms such as text-markers and linguistic cues with pattern-based recognition.
Hybrid Text Mining For Finding Abbreviations And Their Definitions
SIGDAT Conference On Empirical Methods In Natural Language Processing
Computer Science