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Domain Adaptation for NLP

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Multiple Choice

What is the primary goal of domain adaptation in NLP?

  1. To improve the performance of a model on a new domain without additional labeled data.
  2. To reduce the amount of labeled data required to train a model for a new domain.
  3. To enable a model to learn from multiple domains simultaneously.
  4. To improve the interpretability of a model's predictions.
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