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Automated question generation and question answering from Turkish texts using text-to-text transformers
Date
2022-05-01
Author
Akyön, Fatih Çağatay
Çavuşoğlu, Devrim
Cengiz, Cemil
Altınuç, Sinan Onur
Temizel, Alptekin
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Cite This
URI
https://online-journals.tubitak.gov.tr/openAcceptedDocument.htm?fileID=1608880&no=335231
https://hdl.handle.net/11511/97239
Journal
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
DOI
https://doi.org/10.3906/elk-2111-63
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Graduate School of Informatics, Article
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Akyön, Fatih Çağatay; Çavuşoğlu, Devrim; Cengiz, Cemil; Altinuç, Sinan Onur; Temizel, Alptekin (2022-1-01)
All rights reserved.While exam-style questions are a fundamental educational tool serving a variety of purposes, manual construction of questions is a complex process that requires training, experience and resources. Automatic question generation (QG) techniques can be utilized to satisfy the need for a continuous supply of new questions by streamlining their generation. However, compared to automatic question answering (QA), QG is a more challenging task. In this work, we fine-tune a multilingual T5 (mT5) ...
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BibTeX
F. Ç. Akyön, D. Çavuşoğlu, C. Cengiz, S. O. Altınuç, and A. Temizel, “Automated question generation and question answering from Turkish texts using text-to-text transformers,”
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
, vol. 0, no. 0, pp. 0–0, 2022, Accessed: 00, 2022. [Online]. Available: https://online-journals.tubitak.gov.tr/openAcceptedDocument.htm?fileID=1608880&no=335231.
