PersianQuAD: The Native Question Answering Dataset for the Persian Language
Author:
Affiliation:
1. Department of Linguistics, Faculty of Foreign Languages, University of Isfahan, Isfahan, Iran
2. Big Data Research Group, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09729745.pdf?arnumber=9729745
Reference41 articles.
1. ALBERT: A lite BERT for self-supervised learning of language representations;lan;arXiv 1909 11942,2019
2. ParsBERT: Transformer-based Model for Persian Language Understanding
3. ParSQuAD: Persian question answering dataset based on machine translation of SQuAD 2.0;abadani;International Journal of Web Research,2021
4. XQA: A Cross-lingual Open-domain Question Answering Dataset
5. BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels
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