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Xun Yao

2 accepted papers

2024

Masking the Unknown: Leveraging Masked Samples for Enhanced Data Augmentation

UAI 2024poster

Data Augmentation (DA) has become a widely adopted strategy for addressing data scarcity in numerous NLP tasks, especially in scenarios with limited resources or imbalanced classes. However, many existing augmentation techniques rely on randomness or additional resources, presenting challenges in bo…

Cited by 0SourcePDFScholar
2022

Seeing the wood for the trees: a contrastive regularization method for the low-resource Knowledge Base Question Answering

NAACL 2022findings

Given a context knowledge base (KB) and a corresponding question, the Knowledge Base Question Answering task aims to retrieve correct answer entities from this KB. Despite sophisticated retrieval algorithms, the impact of the low-resource (incomplete) KB is not fully exploited, where contributing co…