Reasoning about goals, steps, and temporal ordering with wikihow

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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 Story Cloze Test in zero- and few-shot settings.

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Lyu, Q., Zhang, L., & Callison-Burch, C. (2020). Reasoning about goals, steps, and temporal ordering with wikihow. In EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference (pp. 4630–4639). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2020.emnlp-main.374

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