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Related Questions
- How do pre-trained language models like BERT and RoBERTa handle out-of-vocabulary (OOV) words in named entity recognition (NER) tasks?
- Can pre-trained language models like BERT and RoBERTa learn to recognize OOV words in NER tasks through fine-tuning?
- How does the handling of OOV words in BERT and RoBERTa affect their performance in NER tasks?
- Can pre-trained language models like BERT and RoBERTa be fine-tuned to handle OOV words in NER tasks?
- What is the impact of OOV words on the performance of pre-trained language models like BERT and RoBERTa in NER tasks?
- How do pre-trained language models like BERT and RoBERTa handle rare or low-frequency words in NER tasks?
- Can pre-trained language models like BERT and RoBERTa be used to recognize OOV words in NER tasks without any additional training data?
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