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Related Questions
- How does entity-based attention improve the performance of language models in tasks such as question answering and text classification?
- Can you explain the difference between entity-based attention and traditional attention mechanisms in language models?
- How does entity-based attention help language models to better capture long-range dependencies in text data?
- What are the key benefits of using entity-based attention in language models for tasks such as named entity recognition and relation extraction?
- Can you provide an example of how entity-based attention can be applied to a specific language model architecture, such as BERT or RoBERTa?
- How does entity-based attention relate to other techniques such as coreference resolution and semantic role labeling in language models?
- What are some challenges and limitations of using entity-based attention in language models, and how can they be addressed?
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