A Computational Analysis of Vagueness in Revisions of Instructional Texts

• URL: http://arxiv.org/abs/2309.12107v1
• Date: Thu, 21 Sep 2023 14:26:04 GMT
• Title: A Computational Analysis of Vagueness in Revisions of Instructional Texts
• Authors: Alok Debnath, Michael Roth
• Abstract summary: We extract pairwise versions of an instruction before and after a revision was made. We investigate the ability of a neural model to distinguish between two versions of an instruction in our data.
• Score: 2.2577978123177536
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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