Papers with unanswerable question generation

2 papers
Learning to Ask Unanswerable Questions for Machine Reading Comprehension (P19-1)

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Challenge: Existing models for extractive reading comprehension are not good at deciding whether no answer is presented in the context.
Approach: They propose a data augmentation technique by automatically generating relevant unanswerable questions according to an answerable question paired with its corresponding paragraph that contains the answer.
Outcome: The proposed model performs better on the SQuAD 2.0 dataset than the baseline model and the BERT-large model.
A Lightweight Method to Generate Unanswerable Questions in English (2023.findings-emnlp)

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Challenge: Existing approaches to build robust question answering models are too complex . antonym and entity swaps on answerable questions are used to build models .
Approach: They propose a method for performing antonym and entity swaps on unanswerable questions.
Outcome: The proposed method outperforms the previous state-of-the-art and has higher human-judged relatedness and readability.

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