Natural Language ProcessingNLP 255 Topics in Applied Natural Language Processing

Gives students a solid foundation in a specific application area of natural language processing, by learning about the theories, methods, tools, and techniques typically used in this area. The application area varies each quarter, with expected topics to include Information Extraction, Question Answering, Natural Language Generation, Sentiment Analysis, and others. Students learn about the state of the art and open challenges, and have the opportunity to explore and experiment with both standard algorithms and new emerging approaches.

Requirements

Prerequisite(s): NLP 243 or NLP 201 or CSE 242 or CSE 243 or CSE 245. Enrollment is restricted to natural language processing graduate students and computer science and engineering Ph.D. students, or by permission of the instructor.

Credits

5

Quarter offered

Winter, Spring

Instructor

Marilyn Walker, Dilek Hakkani-Tur

Repeatable for credit

Yes