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arXiv · 2212.02170

Automatic Generation of Factual News Headlines in Finnish

Maximilian Koppatz·Khalid Alnajjar·Mika Hämäläinen·Thierry Poibeau
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Abstract

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.

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Maximilian Koppatz, Khalid Alnajjar, Mika Hämäläinen, Thierry Poibeau. 2022-12-05. Automatic Generation of Factual News Headlines in Finnish. https://arxiv.org/abs/2212.02170

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