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Related Questions
- What are some common issues that arise when using pre-trained word embeddings for entity categorization tasks?
- How do out-of-vocabulary (OOV) words affect the performance of word embeddings in entity categorization tasks?
- What techniques can be used to handle polysemy and synonymy in word embeddings for entity categorization?
- How do different word embedding algorithms (e.g. Word2Vec, GloVe, BERT) perform in entity categorization tasks?
- What are some strategies for handling class imbalance in entity categorization tasks when using word embeddings?
- Can you explain the concept of 'word drift' in the context of word embeddings for entity categorization?
- How do you handle entity ambiguity in word embeddings, where a single word can represent multiple entities?
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