  We present a creative poem generator for the morphologically rich Finnish
language. Our method falls into the master-apprentice paradigm, where a
computationally creative genetic algorithm teaches a BRNN model to generate
poetry. We model several parts of poetic aesthetics in the fitness function of
the genetic algorithm, such as sonic features, semantic coherence, imagery and
metaphor. Furthermore, we justify the creativity of our method based on the
FACE theory on computational creativity and take additional care in evaluating
our system by automatic metrics for concepts together with human evaluation for
aesthetics, framing and expressions.
