Feb 4, 2022 · A fine-tuned question-answer generation model can obtain better performance and it provides a good data augmentation method for automated question-answering.
Most data augmentation techniques for Question Answering (QA) datasets focus on creating extra question- answer pairs that are rephrased versions of existing ...
May 25, 2022 · Then, we cast downstream tasks into the same question answering format and adapt the fine-tuned context generators to the target task domain.
In this work, we present a new data augmentation approach that can generate more question-answer pairs from the documents (i.e., to enhance the machine reading ...
Mar 21, 2024 · We use a dual generation approach, by first prompting the language model to generate a context for a question given in the SQUAD dataset, and ...
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A fine-tuned question-answer generation model can obtain better performance and it provides a good data augmentation method for automated question-answering.
Complex question generation using discourse-based data augmentation
aclanthology.org › 2024.codi-1.10
This research aims to generate questions that can have complex answers (eg “why” questions). We propose a data augmentation method that uses discourse ...
To tackle these, we introduce PQQ, an innovative approach for question data augmentation consisting of Prompt Answer, Question Generation, and Question Filter.
Therefore, this study proposed QGen, a rule-based automatic question generator that can generate questions with different lexical and syntactic structures while ...
Jun 15, 2023 · We propose 1) a data augmentation method that enriches the training dataset with diverse questions given the same context and answer and 2) an overgenerate-and ...