I have a large repository of PDFs that I've wanted to analyze by constructing a graph over, Similarity of *questions* they ask instead of over, Bibliographical citations. NLP folks, how difficult do you think this task is?
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Explicitly, this is an idea I had reading a lot of literature on beliefs. The different disciplines use different words and concepts (even for "belief") but lots of the rhetorical questions — especially in application sections — overlap in my head.
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I suspect this is nearly impossible to do reliably by experts or NPL. It'd be interesting to have a training set of new interdisciplinary fields that spawned by noting 2 unrelated fields ask similar questions or need similar tools. But that might be a very small training set. :(
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Yea. I suspect this is true, if only even because it doesn't exist... (Although, that evidence is weak given the history of availability.)
End of conversation
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