This course introduces the fundamental concepts underlying knowledge representation, semantics, and pragmatics in natural language processing. Students will gain an in-depth understanding of the techniques central to computational semantics and discourse for processing linguistic information. The course examines semantic NLP models and algorithms using both the traditional symbolic and the more recent statistical approaches. The course also covers the development of modern NLP systems capable of carrying out dialogue and conversation. This course and 605.446 Natural Language Processing can be taken independently of each other.
Course prerequisites: 
605.445 Artificial Intelligence or equivalent
Course instructor: 
Kumar

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Course all programs: 
Computer Science
Data Science