Topic Modelling on the European AI Act

This work explores knowledge acquisition and representation tools for automatically creating a high-level model representation of the European regulation on artificial intelligence, commonly known as AI ACT. We utilized BERTopic for extracting topics and we also focused on the comparative analysis with other language models based on the topic extractions and representations. Natural language processing and comprehension of legal text is becoming important as legal texts are often interconnected with a large number of other related materials. Therefore, legal text analysis requires technologies which are able to extract important topics and representing them into a comprehensive form, in order to correctly inform the requirements engineering process.