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Related Questions
- Can you explain the difference between semantic search and traditional keyword-based search in NLP?
- How does semantic search incorporate context and meaning into search queries to improve intent detection?
- What are some common challenges in implementing semantic search in NLP pipelines?
- Can you describe the role of word embeddings in semantic search and how they contribute to intent detection?
- How does semantic search handle polysemy and ambiguity in natural language?
- What are some real-world applications of semantic search in NLP, such as in chatbots or virtual assistants?
- Can you discuss the trade-offs between semantic search and rule-based approaches to intent detection in NLP pipelines?
- How does the use of semantic search impact the performance of intent detection in NLP pipelines, particularly in terms of accuracy and recall?
- Can you explain how semantic search can be used to detect intent in multi-turn conversations?
- What are some potential limitations of semantic search in NLP, and how can they be addressed?
- Can you describe a scenario where semantic search would be more effective than rule-based approaches in intent detection?
- How does the use of semantic search in NLP pipelines affect the design of the underlying machine learning models?
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