preprint Open access

Question Answering Model in Thai by using Squad Thai Wikipedia dataset

Research footprint

At a glance

Citations
1
References
7
Comments
0
Paper overview

Öz

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.

Record transparency

Publication details

DOI
10.36227/techrxiv.17195000.v1
OpenAlex
W4200200720
Document type
preprint
Language
EN
Last metadata update
Community

Comments

Oturum Açın to join the discussion.

  1. No comments yet. Start the discussion.