Exploiting Morphological Query Structure Using Genetic Optimisation.
Jose R. Pérez Agüera, Hugo Zaragoza, Lourdes Araujo.
Proc. Int. Conf. on Applications of Natural Language to Information Systems (NLDB 2008).
LNCS 5039, pp. 124-135, Springer-Verlag (2008).

In this paper we deal with two issues. First, we discuss the negative effects of term
correlation in query expansion algorithms, and we propose a novel and simple method
(query clauses) to represent expanded queries which may alleviate some of these negative
effects. Second, we discuss a method to optimise local query expansion methods using
genetic algorithms, and we apply this method to improve stemming. We evaluate this
method with the novel query representation method and show very significant improvements
for the problem of optimising stemming.