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Related Questions
- How do graph-based models handle polysemous words and their different senses?
- Can you explain the strategies used by graph-based models to represent words with multiple meanings?
- How do graph-based models handle words that are not in the training data or vocabulary?
- What techniques are used by graph-based models to disambiguate words with multiple senses in a sentence?
- How do graph-based models represent and handle words with multiple synonyms or related senses?
- Can you discuss the implications of using graph-based models on out-of-vocabulary words and their impact on model performance?
- What are the common approaches used by graph-based models to handle words with multiple senses and out-of-vocabulary words?
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