Logical fallacy detection and/or identification with natural-language-processing?
Is there a package or methodology in existence for the detection of flawed logical arguments in text? I was hoping for something that would work for text that is not written in an academic setting (such as a logic class). It might be a stretch but I would like something that can identify where logic is trying to be used and identify the logical error. A possible use for this would be marking errors in editorial articles. I don't need anything that is polished. I wouldn't mind working to develop something either so I'm really looking for what's out there in the wild now.