This is a graduate-level course focusing on topics in Natural Language Processing (NLP) such as embedding encoding, text classification, sequence tagging, semantic parsing, coreference resolution, and machine comprehension. Advanced topics in deep learning with various neural network models in applications to NLP are also discussed.
emory-courses/cs571
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