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Related Questions
- How can domain-specific language models be fine-tuned for improved named entity recognition in medical texts?
- What are the challenges of applying general language models to specialized fields like law, and how can they be overcome?
- Can you explain the concept of 'domain drift' in the context of named entity recognition and its implications for medical or legal applications?
- How does the use of domain-specific terminology and jargon in specialized fields affect the accuracy of named entity recognition models?
- What role does ontological knowledge play in improving the precision of named entity recognition in specialized domains like medicine or law?
- Can you discuss the impact of linguistic and cultural differences on the performance of named entity recognition models in diverse domains?
- What is the relationship between the complexity of domain-specific language and the difficulty of training effective named entity recognition models?
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