Papers by Adrian Flanagan
A little goes a long way: Improving toxic language classification despite data scarcity (2020.findings-emnlp)
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| Challenge: | Existing methods for toxic language classification have not been thoroughly explored. |
| Approach: | They propose to use data augmentation to generate new synthetic data from labeled seed datasets to improve toxic language classification. |
| Outcome: | The proposed techniques perform well on very scarce toxic language datasets while performing worse on shallower models. |