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Related Questions
- How does NER (Named Entity Recognition) distinguish between entities with similar names across different sentences?
- Can you provide an example of a context where NER would struggle to disambiguate entities, and how it is resolved?
- What are some common strategies used in NER to handle entity disambiguation in contextually similar sentences?
- How does the use of contextual information in NER impact its ability to disambiguate entities?
- Can NER be fine-tuned to improve its performance on entity disambiguation in contextually similar sentences?
- What role do pre-trained language models play in enhancing NER's ability to disambiguate entities in context?
- Are there any specific techniques or tools that can be used to evaluate the performance of NER on entity disambiguation tasks?
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