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Related Questions
- How do you handle word embeddings when encountering out-of-vocabulary (OOV) words in named entity recognition?
- What techniques can be used to improve the performance of named entity recognition on out-of-vocabulary entities?
- Can you describe a strategy for incorporating external knowledge graphs or dictionaries to handle OOV words and entities?
- How do you handle context-dependent entity recognition when the entity is out-of-vocabulary?
- What is the impact of OOV words on the overall performance of a named entity recognition model?
- How can you leverage pre-trained language models to improve OOV word recognition in named entity recognition?
- Can you explain the concept of wordpiece tokenization and its application in handling OOV words in NER models?
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