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Related Questions
- What are the key architectural design choices in text classification models that affect their ability to handle ambiguous cues?
- How do the use of word embeddings and contextualized representations impact a model's susceptibility to ambiguous cues?
- Can you explain the role of attention mechanisms in text classification models and how they influence the handling of ambiguous cues?
- How do different types of text classification models, such as logistic regression and deep learning models, handle ambiguous cues?
- What are some strategies for mitigating the effects of ambiguous cues in text classification models?
- Can you discuss the trade-offs between model accuracy and robustness to ambiguous cues in text classification?
- How do the design choices of pre-training and fine-tuning impact a model's susceptibility to ambiguous cues in text classification tasks?
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