Abstract
Studying co-word relations between field association (FA) terms and candidate terms can provide valuable information which helps the machine to take the correct decision and append the candidate terms in their suitable place inside FA terms dictionary. In this paper, a pure automatic tool to build a dynamic FA terms dictionary is described. The concept of link power as well as modifications of the rules used to determine the FA terms level depending on the concept of links will be presented. The results showed that the precession and recall were improved. In our simulation, the average improvement was about 16%. Also the complete dynamic system was built and tested.
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