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Rosella P. Galindo Esparza

1 accepted papers

2023

Improving Low-resource Question Answering by Augmenting Question Information

EMNLP 2023short findings

In the era of large models, low-resource question-answering tasks lag, emphasizing the importance of data augmentation - a key research avenue in natural language processing. The main challenges include leveraging the large model's internal knowledge for data augmentation, determining which QA data…

Cited by 0SourceScholar