Papers with self-supervised tasks learning
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning (2020.emnlp-main)
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| Challenge: | Existing methods for integrating knowledge graphs into pre-trained language models have been poorly implemented. |
| Approach: | They propose a self-supervised entity masking scheme that exploits relational knowledge underlying the text. |
| Outcome: | The proposed model achieves improved performance on five benchmarks, including question answering and knowledge base completion. |