Natural Language Processing

CSE354 - Spring 2021

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, Tokenization, and Probability
• Topic 2: Lexicon-based and Supervised Classification: Sentiment, Text Categorization
• Topic 3: Lexical and Vector Semantics
• PyTorch Ingredients
• Topic 4: Human Centered NLP and Ethics in NLP
• Topic 5: Syntactic Parsing and Tagging
• Topic 6: Language Modeling
• Topic 7: Recurrent Neural Networks for Language Modeling, Applying RNNS to Document and word labeling
• Topic 8: Attention and Transformers
• Topic 9: Automatic Speech Recognition

Previous slides (content may be outdated): Spring 2020

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