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Related Questions
- What is the purpose of subword embeddings in NLP models?
- How do subword embeddings address the issue of out-of-vocabulary (OOV) words?
- Can you provide an example of how subword embeddings are used in NER models to handle OOV words?
- What are the benefits of using subword embeddings in NER compared to traditional word embeddings?
- How does the process of subwordization affect the performance of NER models?
- Are subword embeddings language-specific or can they be used across multiple languages?
- Can you explain the difference between subword embeddings and character-level embeddings in NER models?
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