The article introduces a project called FAME that aims to connect two different ways of looking at arguments in computer science. By using controlled natural language, the project plans to combine argument mining and formal argument evaluation to understand how arguments are used. This integration could lead to new ways of searching for arguments and analyzing large amounts of content. Additionally, using evaluation results to improve argument mining processes could enhance their outcomes.