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Related Questions
- How can knowledge graphs be used to disambiguate out-of-vocabulary words in medical text?
- What are some common techniques for representing out-of-vocabulary words in knowledge graphs?
- Can you explain the concept of 'proxy' nodes in knowledge graphs and how they can be used to handle out-of-vocabulary words?
- How can knowledge graphs be used to leverage domain-specific ontologies to improve handling of out-of-vocabulary words in medical text?
- What are some challenges associated with using knowledge graphs to handle out-of-vocabulary words in medical text?
- Can you discuss the role of natural language processing (NLP) in pre-processing medical text to identify potential out-of-vocabulary words?
- How can knowledge graphs be integrated with machine learning models to improve handling of out-of-vocabulary words in medical text?
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