Advanced deep learning concepts and natural language processing (NLP) fundamentals, Language modeling, Vector space semantics and Embeddings, Sequence labeling, Syntactic parsing, semantic analysis, Information Extraction, Machine translation, Discourse Coherence, Question Answering, Dialogue Systems and Chatbots, and Natural language summarization. The course also covers deep learning models in the context of language processing
Grad Scheme
Letter
Prerequisite Courses