论文标题
芬兰的自动生成事实新闻头条
Automatic Generation of Factual News Headlines in Finnish
论文作者
论文摘要
我们为给定的新闻故事提出了一种新的方法，可以在芬兰创造新闻头条。我们将其建模为一个摘要任务，其中赋予了模型新闻文章，其任务是生成描述文章主要主题的简洁标题。由于没有公开可用的GPT-2模型用于Finnish，因此我们将首先使用多个语料库构建这样的模型。然后，使用大量新闻语料库对该模型进行微调以进行标题生成任务。该系统由3名在芬兰媒体公司工作的专家记者评估。结果将提出方法作为标题建议工具的可用性，以促进新闻生产过程。
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.
