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|CS 57700 - Natural Language Processing|
Learning Outcomes: 1. Describe and analyze the key challenges in dealing with natural language data and other fundamental areas of NLP. 2. Analyze and implement the key algorithms and techniques used in NLP. 3. Identify algorithmic techniques that can be applied to new problems and evaluate other possible solutions. 4. Conduct experiments using proper methodology for training and testing NLP systems using data. 5. Critically review current research work in the NLP field.
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