SATLab at BAREC Shared Task 2025: Optimizing a Language-Independent System for Fine-Grained Readability Assessment
(2025) The Third Arabic Natural Language Processing Conference @ EMNLP 2025 — Location: Suzhou (Chine)
Files
2025arabicnlp-sharedtasks40.pdf
Submit conditions not accepted
Open Access - Adobe PDF
- 416.13 KB
Details
- Authors
- Abstract
- This paper presents SATLab’s participation in the BAREC shared task on estimating the read- ability of sentences and documents. The pro- posed system is based on character n-grams fed into a support vector regression. A pro- cedure is then applied to try to optimize the Quadratic Weighted Kappa, the main chal- lenge measure, by tuning the decision thresh- olds used to transform continuous values into ordered categories. Performance is signifi- cantly lower than that of the best systems, but nevertheless superior to that of several deep learning approaches.
- Affiliations
Citations
Bestgen, Y. (2025). SATLab at BAREC Shared Task 2025: Optimizing a Language-Independent System for Fine-Grained Readability Assessment. In Darwish, K. et al. (ed.), Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks (p. p. 280-285). https://hdl.handle.net/2078.5/261067