Natural Language Processing and Understanding

Graduate

This course covers the basic linguistic, logical and AI approaches to the development of natural language understanding systems. Topics covered include: syntactic/parsing strategies, formal semantics, pragmatics and the resolution of various types of ambiguities. Inference strategies involved in the resolution of ambiguities at the pragmatic level include a detailed discussion of the representation of and reasoning with common sense knowledge. The course also includes the implementation of natural 269 Winter 2027 Academic Calendar language interfaces and the application of linguistic approaches to the development of intelligent text retrieval systems.