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Related Questions
- What is the impact of out-of-vocabulary words on the overall performance of AI models using word embeddings?
- How do word embeddings handle unknown or unseen words during training and inference?
- What techniques can be employed to handle out-of-vocabulary words in word embeddings, and what are their trade-offs?
- Can you explain the concept of subword embeddings and how they address out-of-vocabulary words?
- What is the difference between static and dynamic word embeddings in handling out-of-vocabulary words?
- How do pre-trained word embeddings handle out-of-vocabulary words, and what are the limitations of this approach?
- What are some techniques for fine-tuning word embeddings to improve their performance on out-of-vocabulary words?
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