Volume 20, Issue 4 (3-2024)
JSDP 2024, 20(4): 107-120 |
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ForutanRad J, HourAli M, KeyvanRad M. Farsi Question and Answer Dataset (FarsiQuAD). JSDP 2024; 20 (4) : 7
URL: http://jsdp.rcisp.ac.ir/article-1-1337-en.html
URL: http://jsdp.rcisp.ac.ir/article-1-1337-en.html
Abstract: (33 Views)
Fast and accurate answer to the questions asked in natural language is one of the important goals in the development of question and answer systems in which the computer understands a context and question and provides the exact answer to the user. Although there has been a lot of progress in this area, it is still among the issues that need to be improved, especially for languages other than English, such as Persian. FarsiQuAD (FarsiQuAD) was created by humans from Persian Wikipedia articles and published in two versions. Version 1 contains 10,000+ questions and answers and version 2 contains a collection of over 145,000+ rows. This database has the ability to integrate with the English version of SQuAD and other databases of other languages that have used this standard.The results of this research show that the created Persian language question and answer database can provide the user with the answer to the questions asked in the natural Persian language with an exact matching criterion of 78% and an F1 criterion of 87%, and it still needs to be improved.
Article number: 7
Keywords: Question And Answer Dataset, Question And Answer systems, Reading comprehension, Deep Learning, Natural Language Processing
Type of Study: بنیادی |
Subject:
Paper
Received: 2022/09/1 | Accepted: 2023/12/11 | Published: 2024/04/25 | ePublished: 2024/04/25
Received: 2022/09/1 | Accepted: 2023/12/11 | Published: 2024/04/25 | ePublished: 2024/04/25
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