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Related Questions
- How do NLP pipelines handle out-of-vocabulary (OOV) words in text classification tasks?
- What techniques are used to mitigate the impact of novel vocabulary on model performance in text classification?
- Can you explain how word embeddings like Word2Vec and GloVe handle novel vocabulary?
- How do NLP pipelines handle unknown entities or mentions in text classification tasks?
- What strategies are employed to adapt to new vocabulary in text classification tasks with limited training data?
- Can you discuss the trade-offs between using pre-trained word embeddings and fine-tuning them on the target task for handling novel vocabulary?
- How do NLP pipelines handle domain-specific vocabulary or specialized terminology in text classification tasks?
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