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Related Questions
- What are the key differences between named entity recognition (NER) and dependency parsing in natural language processing?
- How does NER help identify the entities in a sentence, and how does dependency parsing help identify their roles?
- Can you provide an example of how NER and dependency parsing are used together to analyze a sentence with multiple entities and their relationships?
- What are the benefits of using both NER and dependency parsing for identifying relationships between entities in a sentence?
- How do NER and dependency parsing help improve the accuracy of entity recognition and relationship identification in a sentence?
- Can you explain how NER and dependency parsing are used in different NLP tasks, such as question answering and text summarization?
- How do the results of NER and dependency parsing inform each other, and what are the implications for understanding sentence structure and meaning?
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