jasonwei20/eda_nlp
Data augmentation for NLP, presented at EMNLP 2019
Implements four lightweight text editing operations—synonym replacement, random insertion, swap, and deletion—that leverage WordNet for vocabulary substitution without requiring external language models. Works directly with tab-separated label-sentence datasets and exposes configurable alpha parameters to control augmentation intensity per operation. Particularly effective on small datasets (N < 500), with performance gains demonstrated across five text classification benchmarks.
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Mar 19, 2023
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