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This course on Neural Networks for Natural Language Processing (NLP) covers topics such as Encoder-Decoder Models, Conditional Generation, Ensembling, Evaluation, and Types of Data to Condition On. Students will learn about language models, conditioned language models, different search algorithms, and evaluation methods. The teaching method includes lectures and discussions. This course is intended for students interested in neural networks and NLP, particularly those with a background in computer science or linguistics.
