  Automated news generation has become a major interest for new agencies in the
past. Oftentimes headlines for such automatically generated news articles are
unimaginative as they have been generated with ready-made templates. We present
a computationally creative approach for headline generation that can generate
humorous versions of existing headlines. We evaluate our system with human
judges and compare the results to human authored humorous titles. The headlines
produced by the system are considered funny 36\% of the time by human
evaluators.
