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Related Questions
- What are the key metrics to evaluate the performance of entity categorization models on out-of-domain data?
- How can we fine-tune pre-trained language models for entity categorization on out-of-domain data?
- What are the benefits and challenges of using transfer learning for entity categorization on out-of-domain data?
- How can we adapt entity categorization models to handle domain shifts and concept drift?
- What are some common techniques for handling out-of-vocabulary words in entity categorization models?
- How can we evaluate the robustness of entity categorization models to noise and missing data in out-of-domain data?
- What are some strategies for selecting the most relevant features for entity categorization models when dealing with out-of-domain data?
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