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Related Questions
- Can you explain how named entity recognition (NER) is used to extract relevant information from user queries?
- How does NER help in identifying the context of user queries, such as location, organization, or person?
- What role does NER play in determining the intent behind user queries, such as booking a flight or making a reservation?
- Can you provide examples of how NER is used in natural language processing (NLP) to identify entities in user queries?
- How does NER help in improving the accuracy of intent detection in conversational AI systems?
- Can you discuss the challenges of using NER in identifying context and intent in user queries, such as ambiguity and uncertainty?
- How does NER integrate with other NLP techniques, such as part-of-speech tagging and dependency parsing, to improve the accuracy of intent detection?
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