How would you evaluate the performance of an NLP model?
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Answer / Suramvir
Evaluating the performance of an NLP model typically involves a combination of automatic and human evaluation methods. Automatic metrics such as BLEU, ROUGE, and METEOR can be used to compare the quality of machine-generated text with reference texts. Human evaluations can provide more nuanced feedback on aspects like fluency, relevance, and coherence.
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