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Related Questions
- How do out-of-vocabulary words impact the performance of entity disambiguation models?
- What are the common techniques used to address out-of-vocabulary words in non-contextual entity disambiguation approaches?
- Can you explain the concept of word embeddings and how they help in handling out-of-vocabulary words in entity disambiguation?
- What is the role of lexical resources such as dictionaries and thesauri in addressing out-of-vocabulary words in entity disambiguation?
- How do non-contextual approaches like rule-based systems and machine learning models handle out-of-vocabulary words in entity disambiguation?
- What are the challenges of handling out-of-vocabulary words in entity disambiguation and how can they be addressed?
- Can you discuss the trade-offs between using pre-trained word embeddings and training custom word embeddings for entity disambiguation?
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