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Related Questions
- How does entity-based attention handle polysemy and its impact on model performance?
- Can you explain the concept of sense embeddings and their role in resolving word senses?
- What are some common techniques used to disambiguate word senses in entity-based attention models?
- How does the use of word sense induction affect the performance of entity-based attention models?
- Can you discuss the trade-offs between using explicit sense embeddings versus learning sense representations from the data?
- What are some challenges in adapting entity-based attention to handle words with multiple possible meanings or senses?
- How can entity-based attention models be fine-tuned to improve their ability to handle polysemy and word sense disambiguation?
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