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Related Questions
- How do rule-based methods handle out-of-vocabulary words in natural language processing?
- What are the limitations of rule-based methods in dealing with domain-specific entities?
- Can you explain the advantages of machine learning-based methods over rule-based methods in handling out-of-vocabulary words?
- How do machine learning-based methods learn to handle domain-specific entities in text data?
- What is the difference in performance between rule-based and machine learning-based methods for out-of-vocabulary handling?
- Can you provide an example of a domain-specific entity that is challenging for rule-based methods to handle?
- How do machine learning-based methods adapt to new out-of-vocabulary words in a dynamic environment?
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