another #chatGPT phenomenon. It can't quite bring itself to speak 100% nonsense. I could get it to make up words, but it will always fall back on real connective words. Like it longs for grammar anchors.
Andrew Piper
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@grvsmth @TedUnderwood @dh curious how you see this playing out. Doing analytical things using natural language? Curious how you would flesh out LLMs for analytical purposes.
#chatgpt question: I thought it was a stochastic parrot. I got the exact same response to the same prompt. How is that possible?
@TedUnderwood @sinykin @dbamman
also curious which would be more efficient for the full stack of info bookNLP gives you. i.e. having POS, deprel, ner, coref, etc all in one place. would this be easily replicable with GPT?
@TedUnderwood @sinykin @dbamman yeah we're building out some ground truth annotated data on the bookNLP "super-sense" tags. Then should be pretty straightforward to triangulate different approaches and relative accuracy.
@humanitiesData thanks for these suggestions!
So @dbamman do you think we are soon going to be post bookNLP? See attached. Experiment from this new paper: https://ceur-ws.org/Vol-3290/long_paper1576.pdf
Don MoynihanAs a reminder, attack on speech in higher Ed goes on. New bill will make it illegal to have a DEI office or even host an event about diversity, equity and inclusion in Texas universities
https://capitol.texas.gov/tlodocs/88R/billtext/pdf/HB01006I.pdf#navpanes=0
@mldh @alizhorvathaliz @quinnanya will have a new multilingual dataset from HathiTrust appearing next month to start facilitating research.