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Related Questions
- How do large language models utilize contextual clues to identify and classify entities in product information extraction?
- Can you explain the role of tokenization in named entity recognition for product information extraction?
- What are some common techniques used by large language models to disambiguate entities with similar names in product information extraction?
- How do large language models handle out-of-vocabulary (OOV) words and unknown entities in product information extraction?
- Can you describe the importance of part-of-speech tagging in named entity recognition for product information extraction?
- How do large language models integrate knowledge graphs and external knowledge sources to enhance named entity recognition in product information extraction?
- What are some common evaluation metrics used to assess the performance of named entity recognition in product information extraction?
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