Natural Language Processing

CSE354 - Spring 2020

Slides are intended as a visual aid for the lecture given in class. They are not a comprehensive set of class notes or a replacement for the readings.

• Topic 1: Introduction and Preliminaries: Regular Expressions and Probability
• Topic 2: Supervised Classification [ Logistic Regression with Penalty ]
• Topic 3: Syntactic Processing: Parts-of-Speech Tagging
• Topic 4: Language Modeling
• Topic 5: Semantic Tasks: WSD, Dependency Parsing, Role Labeling
• Topic 6: Vector Semantics and Embeddings
• Topic 7: Recurrent Neural Networks (LSTMs and GRUs)
• Topic 8: Attention and Transformer Networks
• Topic 9: Human-Centered NLP and Research Ethics