Abstract
Readability assessment is the task of evaluating the reading difficulty of a given piece of text. This article takes a closer look at contemporary NLP research on developing computational models for readability assessment, identifying the common approaches used for this task, their shortcomings, and some challenges for the future. Where possible, the survey also connects computational research with insights from related work in other disciplines such as education and psychology.- Anthology ID:
- 2022.lrec-1.574
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 5366–5377
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.574
- DOI:
- Cite (ACL):
- Sowmya Vajjala. 2022. Trends, Limitations and Open Challenges in Automatic Readability Assessment Research. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 5366–5377, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Trends, Limitations and Open Challenges in Automatic Readability Assessment Research (Vajjala, LREC 2022)
- PDF:
- https://preview.aclanthology.org/nodalida-main-page/2022.lrec-1.574.pdf
- Data
- Newsela