%0 Conference Proceedings
%T Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data
%A Zhou, Shuyan
%A Zhang, Li
%A Yang, Yue
%A Lyu, Qing
%A Yin, Pengcheng
%A Callison-Burch, Chris
%A Neubig, Graham
%Y Muresan, Smaranda
%Y Nakov, Preslav
%Y Villavicencio, Aline
%S Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F zhou-etal-2022-show
%X Procedures are inherently hierarchical. To “make videos”, one may need to “purchase a camera”, which in turn may require one to “set a budget”. While such hierarchical knowledge is critical for reasoning about complex procedures, most existing work has treated procedures as shallow structures without modeling the parent-child relation. In this work, we attempt to construct an open-domain hierarchical knowledge-base (KB) of procedures based on wikiHow, a website containing more than 110k instructional articles, each documenting the steps to carry out a complex procedure. To this end, we develop a simple and efficient method that links steps (e.g., “purchase a camera”) in an article to other articles with similar goals (e.g., “how to choose a camera”), recursively constructing the KB. Our method significantly outperforms several strong baselines according to automatic evaluation, human judgment, and application to downstream tasks such as instructional video retrieval.
%R 10.18653/v1/2022.acl-long.214
%U https://aclanthology.org/2022.acl-long.214
%U https://doi.org/10.18653/v1/2022.acl-long.214
%P 2998-3012