I agree strongly with the benefit of fluent, trustworthy (perhaps customised/contextualised) summarisation. I think LMs are getting there with this, and we should bank on (and advocate/work for) improvements to that kind of capability. Probably costly right now to produce things bespoke, but amortising that by focusing on important, wide-reach content might be quite powerful.
Part of the motive for the discussion here of structure mapping (inference and discourse) is that this epistemic structure metadata can be relatively straightforward to validate, just very time consuming for humans to do. But once pieced together, it should offer useful foundation for all sorts of downstream sense making (like the summarisation you’re describing here).
I agree strongly with the benefit of fluent, trustworthy (perhaps customised/contextualised) summarisation. I think LMs are getting there with this, and we should bank on (and advocate/work for) improvements to that kind of capability. Probably costly right now to produce things bespoke, but amortising that by focusing on important, wide-reach content might be quite powerful.
Part of the motive for the discussion here of structure mapping (inference and discourse) is that this epistemic structure metadata can be relatively straightforward to validate, just very time consuming for humans to do. But once pieced together, it should offer useful foundation for all sorts of downstream sense making (like the summarisation you’re describing here).