{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/reasoning-about-goals-steps-and-temporal","title":"Reasoning about Goals, Steps, and Temporal Ordering with WikiHow","arxiv_id":"2009.07690","date":"2020-09-16","proceeding":"EMNLP 2020 11","authors":["Li Zhang","Qing Lyu","Chris Callison-Burch"],"abstract":"We propose a suite of reasoning tasks on two types of relations between procedural events: goal-step relations (\"learn poses\" is a step in the larger goal of \"doing yoga\") and step-step temporal relations (\"buy a yoga mat\" typically precedes \"learn poses\"). We introduce a dataset targeting these two relations based on wikiHow, a website of instructional how-to articles. Our human-validated test set serves as a reliable benchmark for commonsense inference, with a gap of about 10% to 20% between the performance of state-of-the-art transformer models and human performance. Our automatically-generated training set allows models to effectively transfer to out-of-domain tasks requiring knowledge of procedural events, with greatly improved performances on SWAG, Snips, and the Story Cloze Test in zero- and few-shot settings.","url_abs":"https://arxiv.org/abs/2009.07690v2","url_pdf":"https://arxiv.org/pdf/2009.07690v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"reasoning-about-goals-steps-and-temporal","repo_url":"https://github.com/zharry29/wikihow-goal-step","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"articles","task_name":"Articles"},{"task_slug":"cloze-test","task_name":"Cloze Test"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2009.07690","atlas_url":"https://app.syntology.ai/?focus=2009.07690","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}