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Related Questions
- What are some common data preprocessing techniques used in NLP to reduce the influence of ambiguous cues on text classification accuracy?
- How can stopword removal and stemming/lemmatization affect the performance of text classification models?
- What is the impact of tokenization on the accuracy of text classification models, especially when dealing with ambiguous cues?
- Can you explain the role of normalization and vectorization in reducing the influence of ambiguous cues on text classification accuracy?
- How can handling out-of-vocabulary words and unknown entities improve the performance of text classification models?
- What are some strategies for dealing with context-dependent ambiguity in text classification, such as using contextualized embeddings?
- Can you discuss the trade-offs between oversimplification and overfitting when applying data preprocessing techniques to reduce ambiguous cues?
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