We found that in 63% of these missed predictions, Seed-edLDA predicts LECTURE-CONTENT, instead of QUIZ-CONTENT, and vice versa.
pSL-Joint uses both coarse and fine SeededLDA scores and captures the dependency between a coarse aspect and its corresponding fine aspect.