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Related Questions
- What are the most common sources of noise in text data that can affect entity recognition?
- How can machine learning models be trained to handle out-of-vocabulary words in entity recognition tasks?
- What are some techniques for dealing with entity ambiguity in text data, such as homographs or polysemy?
- How can context and intent be used to disambiguate entities in noisy text data?
- What are some common evaluation metrics used to measure the performance of entity recognition models in noisy or ambiguous text data?
- Can you explain the concept of entity normalization and its importance in entity recognition tasks?
- What are some ways to handle entity evolution, such as when entities change names or merge with other entities over time?
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