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Related Questions
- How do entity-based attention models handle out-of-vocabulary words in text analysis?
- What are the potential consequences of neglecting out-of-vocabulary words in entity-based attention models?
- Can entity-based attention models effectively capture contextual information from words not present in their training data?
- What are the implications of over-reliance on entity-based attention models in the presence of out-of-vocabulary words?
- How do entity-based attention models compare to other methods in handling out-of-vocabulary words in natural language processing?
- What are the potential performance trade-offs of using entity-based attention models on texts containing out-of-vocabulary words?
- Are there any strategies to adapt entity-based attention models for optimal performance on texts with high rates of out-of-vocabulary words?
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