As far as I can tell, most NLP tasks today use word embeddings and recurrent networks or transformers.
Are there any examples of state-of-the-art NLP applications that are still n-gram based and use Naive Bayes?
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Sign up to join this communityAs far as I can tell, most NLP tasks today use word embeddings and recurrent networks or transformers.
Are there any examples of state-of-the-art NLP applications that are still n-gram based and use Naive Bayes?