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Related Questions
- What are OOV words, and how do they affect named entity recognition models?
- How does the presence of OOV words impact the accuracy of named entity recognition models?
- Can OOV words be handled through pre-training or fine-tuning of named entity recognition models?
- What techniques can be employed to mitigate the impact of OOV words on named entity recognition models?
- How do the characteristics of OOV words, such as rarity and ambiguity, influence their effect on named entity recognition models?
- Are there any evaluation metrics specifically designed to assess the impact of OOV words on named entity recognition models?
- Can we leverage external knowledge or external data to improve the handling of OOV words by named entity recognition models?
- How do the architectures of named entity recognition models, such as recurrent neural networks or transformers, influence their ability to handle OOV words?
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