What are the challenges of using NLP in assessment?
An example of an AI chatbot conversation about challenges in NLP for assessment.
What are the main challenges of using NLP in assessment?
Some challenges include ambiguity in language, context understanding, and the need for large datasets.
How does ambiguity in language affect NLP assessments?
Ambiguity can lead to misinterpretation of responses, making it difficult for NLP models to provide accurate assessments.
What can be done to improve context understanding in NLP?
Improving context understanding can involve using more advanced models, like transformers, and incorporating more contextual data.
Are there ethical concerns with using NLP in assessments?
Yes, ethical concerns include bias in algorithms, privacy issues, and the potential for misuse of assessment data.
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