This course surveys core algorithms and methods for building computational models of natural language understanding. Topics include syntactic analysis, semantic representation, discourse, and statistical/corpus-based approaches. Applications considered include information extraction, question answering, machine translation, and spoken language understanding. The course also discusses cognitive and linguistic aspects of understanding, emphasizing both theory and practice.
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This course surveys core algorithms and methods for building computational models of natural language understanding—covering syntactic analysis, semantic representation, discourse, and statistical/corpus-based approaches.
UTAH-CS-ARCHIVE/cs6340-nlp
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This course surveys core algorithms and methods for building computational models of natural language understanding—covering syntactic analysis, semantic representation, discourse, and statistical/corpus-based approaches.
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