Methods › Natural Language Processing › Text Data Augmentation › AEDA
An Easier Data Augmentation
AEDA
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
AEDA, or An Easier Data Augmentation, is a type of data augmentation technique for text classification which includes only the insertion of various punctuation marks into the input sequence. AEDA preserves all the input information and does not mislead the network since it keeps the word order intact while changing their positions in that the words are shifted to the right.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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AEDA: An Easier Data Augmentation Technique for Text Classification 30 Aug 2021 · 2 repositories · arXiv:2108.13230Syntology ran 1 of 3 samples · 2 unverified · 1 pointer-only (licence)
Tasks archive 2025-07-28
5 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Classification | 1 |
| Data Augmentation | 1 |
| Sentence | 1 |
| Text Classification | 1 |
| text-classification | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections