We present a novel approach to generating news headlines in Finnish for a given news story. We model this as a summarization task where a model is given a news article, and its task is to produce a concise headline describing the main topic of the article. Because there are no openly available GPT-2 models for Finnish, we will first build such a model using several corpora. The model is then fine-tuned for the headline generation task using a massive news corpus. The system is evaluated by 3 expert journalists working in a Finnish media house. The results showcase the usability of the presented approach as a headline suggestion tool to facilitate the news production process.
翻译：我们提出了一个以芬兰语制作新闻头条的新方式,用于特定新闻故事。我们把它作为总结任务,给一个模式提供新闻文章,它的任务是制作一个描述文章主题的简明头条。由于芬兰没有公开的GPT-2模式,我们将首先使用几个公司来建立这样一个模式。然后,该模式将使用一个大型新闻资料库为头条新闻的一代任务进行微调。该系统由在芬兰媒体之家工作的3名专业记者来评价。结果显示,作为头条建议工具,介绍的方法对于促进新闻制作过程是有用的。
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