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

When a Computer Cracks a Joke: Automated Generation of Humorous Headlines