What are some common errors in NLP?
An example of an AI chatbot conversation about common NLP errors and how to address them.
What are some common errors in NLP?
Common NLP errors include misinterpretation of context, ambiguity in language, and issues with tokenization.
Can you explain what tokenization errors are?
Tokenization errors occur when text is incorrectly split into words or phrases, affecting understanding.
How can I fix these tokenization errors?
You can fix tokenization errors by using more advanced tokenization algorithms or libraries that handle edge cases.
What about context misinterpretation?
Context misinterpretation happens when the model fails to grasp the intended meaning due to lack of context.
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