4 ms·
Love to see new innovation in this area. I took the app for a spin, pasting in a passage I came across recently: > In 1996, when Dolly the sheep was cloned fro
by rsanek 4y ago
Love to see new innovation in this area. I took the app for a spin, pasting in a passage I came across recently:
> In 1996, when Dolly the sheep was cloned from a single adult sheep cell, the world looked on in amazement. For some scientists, however, the most amazing thing about Dolly was the cell from which she had been cloned.
It appears that Save All cloze'd out 1996, but also "when Dolly the". This kind of unexpected behavior is familiar to me as my buddy and I built a similar NLP-based auto-cloze tool which gets tripped up trying to find important pieces of info to cloze out. In general, I'd say that clozing out dates is actually pretty low-value; personally, I (manually) clozed out these words in the passage:
> In 1996, when {{c1::Dolly}} the {{c2::sheep}} was {{c4::cloned}} from a single adult {{c2::sheep}} {{c3::cell}}, the world looked on in amazement. For some scientists, however, the most amazing thing about {{c1::Dolly}} was the {{c3::cell}} from which she had been {{c4::cloned}}.
Wishing you guys best of luck. When someone finally cracks this problem (generic content => nice flashcards), it's going to be huge.
- p-christ 4y agothanks for trying it out! Completely agree that generic content ==> nice flashcards is going to be big, we really think it's possible now with advances in NLP and we are going to do it. And yeah the green words aren't very good for that Dolly example. It's ML based so its output is somewhat random but usually it produces green words that are much better than that so i think you were a bit unlucky with that example. All the data we collect on the clozes gets fed back into the algorithm so overtime it should become more consistent aswell!