What are the main challenges in NLP development?
An example of an AI chatbot conversation about challenges in NLP development.
What are the main challenges in NLP development?
Some key challenges include understanding context, handling ambiguity, and processing diverse languages.
Can you explain why understanding context is so difficult?
Understanding context is difficult because language can be highly nuanced, and the same words can have different meanings based on the situation.
What about handling ambiguity?
Ambiguity arises when a word or phrase has multiple meanings, making it hard for models to determine the intended interpretation.
Are there specific techniques to overcome these challenges?
Yes, techniques like contextual embeddings, attention mechanisms, and transfer learning are commonly used to address these challenges.
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