ACL 2022long33 citations

Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data

Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig

Abstract

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.

BibTeX
@inproceedings{zhou-etal-2022-show,
    title = "Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data",
    author = "Zhou, Shuyan  and
      Zhang, Li  and
      Yang, Yue  and
      Lyu, Qing  and
      Yin, Pengcheng  and
      Callison-Burch, Chris  and
      Neubig, Graham",
    editor = "Muresan, Smaranda  and
      Nakov, Preslav  and
      Villavicencio, Aline",
    booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = may,
    year = "2022",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.acl-long.214/",
    doi = "10.18653/v1/2022.acl-long.214",
    pages = "2998--3012"
}
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data · ACL 2022