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        <title>A Computational Analysis of Vagueness in Revisions of Instructional Texts</title>
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    <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.</abstract>
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%0 Conference Proceedings
%T A Computational Analysis of Vagueness in Revisions of Instructional Texts
%A Debnath, Alok
%A Roth, Michael
%S Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
%D 2021
%8 apr
%I Association for Computational Linguistics
%C Online
%F debnath-roth-2021-computational
%X 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.
%R 10.18653/v1/2021.eacl-srw.5
%U https://aclanthology.org/2021.eacl-srw.5
%U https://doi.org/10.18653/v1/2021.eacl-srw.5
%P 30-35

Markdown (Informal)

[A Computational Analysis of Vagueness in Revisions of Instructional Texts](https://aclanthology.org/2021.eacl-srw.5) (Debnath & Roth, EACL 2021)

• A Computational Analysis of Vagueness in Revisions of Instructional Texts (Debnath & Roth, EACL 2021)

ACL

• Alok Debnath and Michael Roth. 2021. A Computational Analysis of Vagueness in Revisions of Instructional Texts. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 30–35, Online. Association for Computational Linguistics.