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        <title>wikiHowToImprove: A Resource and Analyses on Edits in Instructional Texts</title>
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    <name type="personal">
        <namePart type="given">Talita</namePart>
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        <namePart type="given">Irshad</namePart>
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    <name type="personal">
        <namePart type="given">Michael</namePart>
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            <title>Proceedings of the Twelfth Language Resources and Evaluation Conference</title>
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            <publisher>European Language Resources Association</publisher>
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    <abstract>Instructional texts, such as articles in wikiHow, describe the actions necessary to accomplish a certain goal. In wikiHow and other resources, such instructions are subject to revision edits on a regular basis. Do these edits improve instructions only in terms of style and correctness, or do they provide clarifications necessary to follow the instructions and to accomplish the goal? We describe a resource and first studies towards answering this question. Specifically, we create wikiHowToImprove, a collection of revision histories for about 2.7 million sentences from about 246000 wikiHow articles. We describe human annotation studies on categorizing a subset of sentence-level edits and provide baseline models for the task of automatically distinguishing “older” from “newer” revisions of a sentence.</abstract>
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        <url>https://aclanthology.org/2020.lrec-1.702</url>
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%0 Conference Proceedings
%T wikiHowToImprove: A Resource and Analyses on Edits in Instructional Texts
%A Anthonio, Talita
%A Bhat, Irshad
%A Roth, Michael
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F anthonio-etal-2020-wikihowtoimprove
%X Instructional texts, such as articles in wikiHow, describe the actions necessary to accomplish a certain goal. In wikiHow and other resources, such instructions are subject to revision edits on a regular basis. Do these edits improve instructions only in terms of style and correctness, or do they provide clarifications necessary to follow the instructions and to accomplish the goal? We describe a resource and first studies towards answering this question. Specifically, we create wikiHowToImprove, a collection of revision histories for about 2.7 million sentences from about 246000 wikiHow articles. We describe human annotation studies on categorizing a subset of sentence-level edits and provide baseline models for the task of automatically distinguishing “older” from “newer” revisions of a sentence.
%U https://aclanthology.org/2020.lrec-1.702
%P 5721-5729

Markdown (Informal)

[wikiHowToImprove: A Resource and Analyses on Edits in Instructional Texts](https://aclanthology.org/2020.lrec-1.702) (Anthonio et al., LREC 2020)

• wikiHowToImprove: A Resource and Analyses on Edits in Instructional Texts (Anthonio et al., LREC 2020)

ACL

• Talita Anthonio, Irshad Bhat, and Michael Roth. 2020. wikiHowToImprove: A Resource and Analyses on Edits in Instructional Texts. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 5721–5729, Marseille, France. European Language Resources Association.