A Computational Analysis of Vagueness in Revisions of Instructional
  Texts
Alok Debnath Michael Roth
WikiHow is an open-domain repository of instructional articles for a variety
of tasks, which can be revised by users. In this paper, we extract pairwise
versions of an instruction before and after a revision was made. Starting from
a noisy dataset of revision histories, we specifically extract and analyze
edits that involve cases of vagueness in instructions. We further investigate
the ability of a neural model to distinguish between two versions of an
instruction in our data by adopting a pairwise ranking task from previous work
and showing improvements over existing baselines.