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The document discusses the differences between generative and discriminative models in natural language processing (NLP), highlighting the advantages of discriminative models such as higher accuracy and the ability to incorporate linguistic features. It explains joint versus conditional models, with joint models estimating probabilities over both observed and hidden data, while conditional models focus on the probability of hidden structure given observed data. Additionally, it emphasizes the importance of

Author

maris.vellichor

Language

EN