Natural Language Processing

Slides are intended as an outline and visual aid for the lecture given in class. They are not a replacement for comprehensive note taking or for the readings.

Topic 1: Introduction to NLP; Regular Expressions, Probability, Tokenization
Topic 2: Maximum Entropy (LogReg) Supervised Classification [ Regularization Example ]
Topic 3: Dependency Parsing
Topic 4: Lexical and Verbal Semantics
Topic 5: Introduction to Language Modeling
Topic 6: Neural Networks and RNNs
Topic 7: Attention and Transformer Language Models
Topic 8: Ethics in NLP
Topic 9: Human Centered NLP
Topic 10: LLM QA Reasoning and Discourse

Slides from previous offerings of the class may be found here: Spring 2024,
Warning: some content from these slides may be outdated.