ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
Author:
Affiliation:
1. University of Innsbruck, Innsbruck, Tyrol, Austria
2. Assuit University, Assuit, Egypt
3. DISCO AI, Cairo, Egypt
4. University of Innsbruck, Innsbruck, Austria
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3626772.3657889
Reference64 articles.
1. ParSQuAD: Machine Translated SQuAD dataset for Persian Question Answering
2. Abdelrahman Abdallah, Mahmoud Abdalla, Mohamed Elkasaby, Yasser Elbendary, and Adam Jatowt. 2023 a. Amurd: annotated multilingual receipts dataset for cross-lingual key information extraction and classification. arXiv preprint arXiv:2309.09800 (2023).
3. Abdelrahman Abdallah and Adam Jatowt. 2023. Generator-retriever-generator: A novel approach to open-domain question answering. arXiv preprint arXiv:2307.11278 (2023).
4. Automated Question-Answer Medical Model based on Deep Learning Technology
5. Exploring the state of the art in legal QA systems
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