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Related Questions
- Can contextual understanding improve the accuracy of text classification models in identifying sentiment or topics?
- How does contextual understanding impact the performance of language models in identifying nuances in text, such as sarcasm or figurative language?
- In what ways can contextual understanding enhance the ability of language models to classify text based on its meaning, rather than just keywords?
- Can contextual understanding help mitigate the issue of 'out-of-context' text classification, where a model misclassifies text due to lack of understanding of the surrounding context?
- How does the level of contextual understanding required for a task affect the design and training of language models?
- Can contextual understanding be used to improve the explainability of language models, allowing users to better understand why a certain classification or sentiment was assigned?
- In what ways can contextual understanding be incorporated into sentiment analysis models to improve their ability to detect subtle emotions or nuances in text?
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