Abstract
WikiHow is an open-domain repository of instructional articles for a variety of tasks, which can be revised by users. In this paper, we extract pairwise versions of an instruction before and after a revision was made. Starting from a noisy dataset of revision histories, we specifically extract and analyze edits that involve cases of vagueness in instructions. We further investigate the ability of a neural model to distinguish between two versions of an instruction in our data by adopting a pairwise ranking task from previous work and showing improvements over existing baselines.- Anthology ID:
- 2021.eacl-srw.5
- Volume:
- Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
- Month:
- April
- Year:
- 2021
- Address:
- Online
- Venue:
- EACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 30–35
- Language:
- URL:
- https://aclanthology.org/2021.eacl-srw.5
- DOI:
- 10.18653/v1/2021.eacl-srw.5
- Cite (ACL):
- Alok Debnath and Michael Roth. 2021. A Computational Analysis of Vagueness in Revisions of Instructional Texts. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 30–35, Online. Association for Computational Linguistics.
- Cite (Informal):
- A Computational Analysis of Vagueness in Revisions of Instructional Texts (Debnath & Roth, EACL 2021)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2021.eacl-srw.5.pdf
- Data
- FrameNet