Hyeoni/Question-Generation-Multitask-Korquad

Question Generation Model with KorQuAD

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This model is a fine-tuend version of paust/pko-t5-base on the KorQuAD v1.0 Dataset.

Dataset

KorQuAD v1.0 Dataset (csv)
Train
Valid

Train

30% 확률로 input answer 대신 '[MASK]'를 넣어 질문 문장을 생성하도록 학습한다.
그 결과, input answer가 없을 때도 적절히 answer을 찾아 질문을 생성할 수 있다.

Question Generation without Input Answer

context = """ CONTEXT """
input_answer = '[MASK]'
        
generated = generate(best_model, input_answer, context)
        
show_result(generated)

References

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Leaf-Question-Generation :https://github.com/KristiyanVachev/Leaf-Question-Generation
pko-t5-base : https://huggingface.co/paust/pko-t5-base
KorQuAD v1.0 : https://korquad.github.io/KorQuad%201.0/