Asked • 06/28/19

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.

Rost G.

Maybe it's a bit late but still There is a project - AI based Logical Fallacy detector: https://www.logical-fallacy.com Can detect ten or so logical fallacies like Ad Hominem, Appeal to Emotions, To Tradition, To Popular belief, False Dilemma etc: https://www.logical-fallacy.com/list-of-logical-fallacies/ There are several tools, tweet-bot, alexa skill, daily news picker: https://www.logical-fallacy.com/logical-fallacies-detectors/ Interesting bit is news clastering using logical fallacy search in comments like this: https://www.logical-fallacy.com/articles/news-29-oct-2020/
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11/10/20

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