Towards Modeling Revision Requirements in wikiHow Instructions

Irshad Bhat, Talita Anthonio, Michael Roth


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.
Anthology ID:
2020.emnlp-main.675
Volume:
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Month:
November
Year:
2020
Address:
Online
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
8407–8414
Language:
URL:
https://www.aclweb.org/anthology/2020.emnlp-main.675
DOI:
10.18653/v1/2020.emnlp-main.675
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.emnlp-main.675.pdf