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Related Questions
- What are the common strategies to handle out-of-vocabulary (OOV) words in F1-score evaluations?
- How do machine learning models typically address OOV words during F1-score assessments?
- Can you explain the concept of OOV words and their impact on F1-score evaluations?
- What techniques are used to handle unknown or unseen words during F1-score evaluation?
- How do models handle OOV words that are not present in the training data?
- What are some common techniques used to mitigate the effect of OOV words on F1-score evaluations?
- Can you discuss the role of subword modeling in addressing OOV words during F1-score evaluations?
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