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Related Questions
- What are the limitations of one-hot encoding in natural language processing?
- How does one-hot encoding fail to capture the nuances of language?
- What are some alternative methods to one-hot encoding for NLP tasks?
- Can you explain the concept of semantic meaning in language and how one-hot encoding falls short?
- Why is one-hot encoding not suitable for capturing context-dependent relationships in language?
- What are some common applications where one-hot encoding is not sufficient for natural language tasks?
- Can you discuss the differences between one-hot encoding and other encoding techniques, such as word embeddings, in capturing language nuances?
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