CSCI-GA 2590 Natural Language Processing
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How can we teach machines to know language in order that they will answer our queries, extract information from textual data, or maybe have a conversation with us? The first goal of this CSCI-GA 2590 Natural Language Processing course is to supply students with the principles and tools needed to unravel a spread of NLP problems. We'll specialize in data-driven methods, including classification, sequence labeling, structured prediction, unsupervised learning, and deep learning. Specific requests include text arrangement, basic parsing, semantic parsing, and generation. Students are expected to possess a solid mathematical background and programming skills. Probability, statistics, algebra, algorithms and arrangement, basic knowledge in machine learning are going to be helpful.
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