abstract = "This research demonstrates the use of genetic
programming to derive the objective function that ranks
the candidate concepts and selects the set of best
matching concepts for a sentence within medical text. A
short set of example primitive and linguistic variables
was input into the GP process, and a set of manually
tagged sentences extracted from the literature was used
to derive different objective functions potentially
suitable for tagging. This proof-of-concept
demonstrates the potential of this approach to simplify
automated semantic tagging and to identify some of the
likely challenges of applying the GP approach to
complex linguistics problems of this nature.",
notes = "Eng. Manage. & Syst. Eng., Missouri Univ. of Sci. &
Technol., Rolla, MO, USA