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Related Questions
- What are some common biases present in pre-trained word embeddings that can affect entity categorization?
- How can I handle out-of-vocabulary (OOV) words when using pre-trained word embeddings for entity categorization?
- What are some strategies for fine-tuning pre-trained word embeddings for specific entity categorization tasks?
- Can you explain the concept of 'cold start' issue in pre-trained word embeddings and how to mitigate it?
- How do pre-trained word embeddings handle polysemy and homographs, and what are the implications for entity categorization?
- What are some techniques for evaluating the quality of pre-trained word embeddings for entity categorization tasks?
- Can you discuss the trade-off between using pre-trained word embeddings and training a custom embedding model from scratch for entity categorization?
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