In this paper we describe the difficulties of poetry generation, particularly in contrast to traditional informative natural language generation. We then point out deficiencies of previous attempts at poetry generation, and propose a stochastic hill-climbing search model which addresses these deficiencies. We present both conceptual and implemented details of the most important aspects of such a model, the evaluation and evolution functions. Finally, we report and discuss results of our preliminary implementation work.
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