Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation (2020.emnlp-main)
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| Challenge: | Existing methods to train language models on diverse text corpora have brought up performance improvements on several natural language understanding (NLU) tasks. |
| Approach: | They propose a method to automatically generate domain- and task-adaptive maskings of a given text for self-supervised pre-training. |
| Outcome: | The proposed framework outperforms rule-based masking strategies on question answering and text classification datasets on which it outperformed rule-driven masking techniques. |
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