Papers by Tam Dang
Variational Pretraining for Semi-supervised Text Classification (P19-1)
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| Challenge: | Empirically, we show the relative strength of VAMPIRE against computationally expensive contextual embeddings and other popular semi-supervised baselines under low resource settings. |
| Approach: | They propose a lightweight framework for effective text classification when data and computing resources are limited. |
| Outcome: | The proposed framework is compared with expensive contextual embeddings and semi-supervised baselines under low resource settings. |