Evaluating Data Augmentation with Attention Masks for Context Aware Transformations
Transfer learning from large, pre-trained models and data augmentation are arguably the two most widespread solutions to the problem of data scarcity. However, both methods suffer from limitations that prevent more optimal solutions to natural language processing tasks. We consider that transfer lea...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/155913 |