Developing a Kazakh question-answering model: standing on the shoulders of multilingual giants

Author:

Nugumanova Aliya1,Apayev Kurmash2,Saken Aldiyar3,Quandyq Sultaniyar3,Mansurova Aigerim2,Kamiluly Alibek3

Affiliation:

1. Astana IT University,Research and Innovation Center “Big Data and Blockchain Technologies”,Astana,Kazakhstan

2. D. Serikbayev East Kazakhstan Technical University,System Administration and Educational Process Department,Ust-Kamenogorsk,Kazakhstan

3. Astana IT University,Astana,Kazakhstan

Publisher

IEEE

Reference25 articles.

1. Transformer models used for text-based question answering systems;Nassiri;Applied Intelligence.,2022

2. Recent Trends in Deep Learning Based Open-Domain Textual Question Answering Systems

3. A literature review on question answering techniques, paradigms and systems

4. Exploring the limits of transfer learning with a unified text-to-text transformer;Raffel;The Journal of Machine Learning Research,2020

5. mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer

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