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Question Answering Model in Thai by using Squad Thai Wikipedia dataset
  • Wicharn Rueangkhajorn ,
  • Jonathan H. Chan
Wicharn Rueangkhajorn
King Mongkut’s University of Technology Thonburi(KMUTT)

Corresponding Author:[email protected]

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Jonathan H. Chan
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Abstract

Nowadays, Question Answering is one of the challenge applications in the Natural language processing domain. There are plenty of English language Question Answering model distributed on the model sharing website such as Hugging face hub. Unlike Thai language, there is on a few Thai language Question Answering model distributed on the model sharing website. So, we decided to fine-tune a multilingual Question Answering model to a specify language which is Thai language. The datasets that we will use for training is a Thai Wikipedia dataset from iApp Technology. We have tried to fine-tune on two multilingual model. We also create another dataset to evaluate adaptivity of the model. The result came out to be as satisfy. Both fine-tuned models perform better than base model on evaluation score. We have published Question Answering model to Hugging face hub that will allow people to using these models for others application later.