The ability to properly rank arguments according to specific principles may play an important role in Argument Retrieval tasks. However the clear definition of such criteria that can be used to rank retrieved arguments, or the documents they are part of, is a challenging task. Indeed, these principles are typically specific to the domain of application, and even experts may disagree on their definitions. For example, the concept of "similarity" between arguments could be subject to different interpretations and may change a lot according to the context and the final purpose. In this talk, we discuss case studies in different domains (news, legal documents, medical literature), analyzing characteristics, potential applications, and the challenges that arise.
