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Towards Modeling Revision Requirements in wikiHow Instructions.

, , and . EMNLP (1), page 8407-8414. Association for Computational Linguistics, (2020)

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SemEval-2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts., , and . CoRR, (2023)Towards Modeling Revision Requirements in wikiHow Instructions., , and . EMNLP (1), page 8407-8414. Association for Computational Linguistics, (2020)SemEval-2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts., , and . SemEval@NAACL, page 1039-1049. Association for Computational Linguistics, (2022)Team Kermit-the-frog at SemEval-2019 Task 4: Bias Detection Through Sentiment Analysis and Simple Linguistic Features., and . SemEval@NAACL-HLT, page 1016-1020. Association for Computational Linguistics, (2019)Clarifying Implicit and Underspecified Phrases in Instructional Text., , and . LREC, page 3319-3330. European Language Resources Association, (2022)What Can We Learn from Noun Substitutions in Revision Histories?, and . COLING, page 1359-1370. International Committee on Computational Linguistics, (2020)Toward Implicit Reference in Dialog: A Survey of Methods and Data., , , , and . AACL/IJCNLP (1), page 587-600. Association for Computational Linguistics, (2022)wikiHowToImprove: A Resource and Analyses on Edits in Instructional Texts., , and . LREC, page 5721-5729. European Language Resources Association, (2020)Is the Answer in the Text? Challenging ChatGPT with Evidence Retrieval from Instructive Text., , , , , and . EMNLP (Findings), page 14229-14241. Association for Computational Linguistics, (2023)