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Related Questions
- How do entity-based attention models handle missing entities during training?
- Can entity-based attention models learn to recognize new entities not seen during training?
- What are the common techniques used to handle out-of-vocabulary (OOV) entities in entity-based attention models?
- How does the model's performance degrade when encountering OOV entities during inference?
- What are the implications of OOV entities on the overall model accuracy and robustness?
- Are there any techniques to fine-tune the model to handle OOV entities more effectively?
- Can entity-based attention models be adapted to learn from contextual information to handle OOV entities more accurately?
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