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Related Questions
- How can we utilize word embeddings and semantic meaning to disambiguate words with multiple meanings?
- What are some techniques for incorporating contextual information from surrounding words and phrases to clarify ambiguous language?
- Can you describe methods for using entity recognition and named entity disambiguation to resolve word ambiguity?
- How can we leverage linguistic features such as part-of-speech tagging and dependency parsing to disambiguate unknown words?
- What role do discourse markers play in resolving ambiguity in language, and how can we incorporate them into our models?
- Can you discuss the benefits and challenges of using graph-based models to represent context and disambiguate word meanings?
- How can we balance the trade-off between contextual information and computational complexity in large-scale natural language processing applications?
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