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    <abstract>wikiHow is a resource of how-to guidesthat describe the steps necessary to accomplish a goal. Guides in this resource are regularly edited by a community of users, who try to improve instructions in terms of style, clarity and correctness. In this work, we test whether the need for such edits can be predicted automatically. For this task, we extend an existing resource of textual edits with a complementary set of approx. 4 million sentences that remain unedited over time and report on the outcome of two revision modeling experiments.</abstract>
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%0 Conference Proceedings
%T Towards Modeling Revision Requirements in wikiHow Instructions
%A Bhat, Irshad
%A Anthonio, Talita
%A Roth, Michael
%Y Webber, Bonnie
%Y Cohn, Trevor
%Y He, Yulan
%Y Liu, Yang
%S Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F bhat-etal-2020-towards
%X wikiHow is a resource of how-to guidesthat describe the steps necessary to accomplish a goal. Guides in this resource are regularly edited by a community of users, who try to improve instructions in terms of style, clarity and correctness. In this work, we test whether the need for such edits can be predicted automatically. For this task, we extend an existing resource of textual edits with a complementary set of approx. 4 million sentences that remain unedited over time and report on the outcome of two revision modeling experiments.
%R 10.18653/v1/2020.emnlp-main.675
%U https://aclanthology.org/2020.emnlp-main.675
%U https://doi.org/10.18653/v1/2020.emnlp-main.675
%P 8407-8414

Markdown (Informal)

[Towards Modeling Revision Requirements in wikiHow Instructions](https://aclanthology.org/2020.emnlp-main.675) (Bhat et al., EMNLP 2020)

• Towards Modeling Revision Requirements in wikiHow Instructions (Bhat et al., EMNLP 2020)

ACL

• Irshad Bhat, Talita Anthonio, and Michael Roth. 2020. Towards Modeling Revision Requirements in wikiHow Instructions. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 8407–8414, Online. Association for Computational Linguistics.