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Related Questions
- What are the primary benefits of using NER for entity disambiguation in contextual prompts?
- How does NER help improve the accuracy of entity recognition in complex texts?
- What are the key advantages of using NER over traditional machine learning approaches for entity disambiguation?
- Can you explain the concept of contextual embeddings and how NER is used in conjunction with them?
- How does NER handle entities with multiple senses or nuances, such as homographs or polysemy?
- What are some common challenges associated with using NER for entity disambiguation, and how can they be addressed?
- Can you provide an example of how NER can be used to disambiguate entities in a real-world text?
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