A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks (2023.findings-acl)
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| Challenge: | Existing domain-specific pre-trained language models lack domain knowledge in domain-focused training. |
| Approach: | They propose a unified domain language model development service to inject domain knowledge into the PLM fine-tuning stage. |
| Outcome: | Experiments on domain-specific text classification and QA tasks verify the effectiveness and generalizability of KnowledgeDA. |
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