Abstract
Simple Wikipedia has dominated simplification research in the past 5 years. In this opinion paper, we argue that focusing on Wikipedia limits simplification research. We back up our arguments with corpus analysis and by highlighting statements that other researchers have made in the simplification literature. We introduce a new simplification dataset that is a significant improvement over Simple Wikipedia, and present a novel quantitative-comparative approach to study the quality of simplification data resources.- Anthology ID:
- Q15-1021
- Volume:
- Transactions of the Association for Computational Linguistics, Volume 3
- Month:
- Year:
- 2015
- Address:
- Cambridge, MA
- Venue:
- TACL
- SIG:
- Publisher:
- MIT Press
- Note:
- Pages:
- 283–297
- Language:
- URL:
- https://aclanthology.org/Q15-1021
- DOI:
- 10.1162/tacl_a_00139
- Cite (ACL):
- Wei Xu, Chris Callison-Burch, and Courtney Napoles. 2015. Problems in Current Text Simplification Research: New Data Can Help. Transactions of the Association for Computational Linguistics, 3:283–297.
- Cite (Informal):
- Problems in Current Text Simplification Research: New Data Can Help (Xu et al., TACL 2015)
- PDF:
- https://preview.aclanthology.org/author-url/Q15-1021.pdf
- Data
- Newsela