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Related Questions
- How do out-of-vocabulary (OOV) words affect the interpretability of Named Entity Recognition (NER) models?
- Can you explain the challenges of handling OOV words in NER models and their impact on model performance?
- How do OOV words influence the accuracy and reliability of NER model predictions?
- What strategies can be employed to mitigate the effects of OOV words on NER model interpretability?
- How do OOV words impact the ability to understand and trust NER model predictions?
- Can you discuss the relationship between OOV words and the concept of 'unknown' or 'unseen' entities in NER models?
- What are the implications of OOV words on the explainability and transparency of NER model decisions?
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