DARES: Dataset for Arabic Readability Estimation of School Materials (2024 · 15 citations)
DARES tackles Arabic readability estimation for school materials. The authors argue that earlier Arabic corpora, which sample random passages from textbooks, cannot show whether the explanation of a particular concept suits a given grade. DARES instead collects only concept-centred texts: a target term together with…
DTW at Qur'an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource Domain (2022 · 11 citations)
The paper describes the DTW team's entry to the Qur'an QA 2022 shared task. The task is extractive (span-prediction) reading comprehension over Qur'anic passages, a domain with very little annotated data. The organisers supplied QRCD, which has 1,093 question–passage pairs and 1,337 question–passage–answer triplets.…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

DARES: Dataset for Arabic Readability Estimation of School MaterialsWorkshop on Evaluating Text Difficulty in a Multilingual ContextMo El-Haj, Sultan Almujaiwel, Damith Premasiri, et al.2024 · 15 citations
DTW at Qur'an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource DomainWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksDamith Premasiri, Tharindu Ranasinghe, Wajdi Zaghouani, et al.2022 · 11 citations
UK-PRBENCH: A Paragraph-Level Precedent Retrieval Benchmark for United Kingdom Case Law ↗arXiv:2609.24613 · no summary yetDamith Premasiri, Tharindu Ranasinghe2026

Co-authors here

5 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 19 times (of the 149,439 papers whose bibliographies we read); 17 citing papers with a page here →.

Updated 1 November 2026