Premise: while most approaches for reading comprehension rely on recurrent neural networks (rnns), running them over long documents is prohibitively slow because it is difficult to parallelize over sequences.

Hypothesis: while most successful approaches for reading comprehension rely on recurrent neural networks (rnns), running them over long documents is prohibitively slow because it is difficult to parallelize over sequences.
Label: neutral