Data augmentation for dense passage retrieval using corpus-passage frequency-based token deletion
Abstract This paper proposes a novel data augmentation method to address class imbalance in large-scale information retrieval systems. In particular, a corpus-passage frequency-based token deletion technique is introduced to improve the accuracy of Dense Passage Retrieval, which is a dense vector-ba...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-08-01
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| Series: | Journal of Big Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40537-025-01257-9 |
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