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Related Questions
- How do out-of-vocabulary words impact the accuracy of entity recognition models during training and testing?
- What are the common techniques used to handle out-of-vocabulary words in entity recognition tasks?
- Can you explain the difference between in-domain and out-of-domain out-of-vocabulary words in entity recognition?
- How does the presence of out-of-vocabulary words affect the performance of pre-trained language models in entity recognition?
- What are some strategies for mitigating the impact of out-of-vocabulary words on entity recognition models during deployment?
- Can out-of-vocabulary words be handled using techniques such as subword modeling or character-level modeling?
- What is the role of data augmentation in reducing the impact of out-of-vocabulary words on entity recognition models?
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