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.
翻译:过去,自动新闻生成已成为新机构的主要兴趣。 此类自动产生的新闻文章的标题往往没有想象力,因为它们是用现成的模板生成的。 我们为头版新闻生成提出了一种可产生幽默现有标题版本的计算创新方法。 我们与人类法官一起评估我们的系统,并将结果与人类作者的幽默标题进行比较。 人类评价员认为,该系统制作的头条标题是有趣的36 ⁇ 。