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Related Questions
- What are the key limitations of contextual disambiguation in handling out-of-vocabulary words?
- How can contextual disambiguation be improved for ambiguity resolution in noisy or sparse data?
- What are the challenges of applying contextual disambiguation to tasks with complex semantics, such as idiomatic expressions?
- Can contextual disambiguation be effectively applied to multi-turn dialogue systems with context-dependent ambiguity?
- What are the computational requirements for large-scale contextual disambiguation in real-world applications?
- How can contextual disambiguation be integrated with other NLP techniques, such as named entity recognition and part-of-speech tagging?
- What are the evaluation metrics for assessing the effectiveness of contextual disambiguation in real-world NLP applications?
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