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Stanford University

Natural Language Understanding I - Spring 2023

Stanford University via YouTube

Overview

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This course examines natural language understanding through linguistics, natural language processing, and machine learning. It covers contextual representations, information retrieval, in-context learning, behavioral and analytical evaluation, NLP metrics, language models, and presenting NLP research.

Syllabus

Stanford XCS224U: NLU I Intro & Evolution of Natural Language Understanding, Pt. 1 I Spring 2023
Stanford XCS224U: Natural Language Understanding I Course Overview, Part 2 I Spring 2023
Stanford XCS224U: Natural Language Understanding I Homework 1 I Overview: Bake Off
Stanford XCS224U: NLU I Contextual Word Representations, Part 1: Guiding Ideas I Spring 2023
Stanford XCS224U: NLU I Contextual Word Representations, Part 2: Transformer I Spring 2023
Stanford XCS224U: NLU I Contextual Word Representations, Part 3: Positional Encoding I Spring 2023
Stanford XCS224U: NLU I Contextual Word Representations, Part 4: GPT I Spring 2023
Stanford XCS224U: NLU I Contextual Word Representations, Part 5: BERT I Spring 2023
Stanford XCS224U: NLU I Contextual Word Representations, Part 6: RoBERTa I Spring 2023
Stanford XCS224U: NLU I Contextual Word Representations, Part 7: ELECTRA I Spring 2023
Stanford XCS224U: NLU I Contextual Word Representations, Part 8: Seq2seq Architectures I Spring 2023
Stanford XCS224U: NLU I Contextual Word Representations, Part 9: Distillation I Spring 2023
Stanford XCS224U: NLU I Contextual Word Representations, Part 10: Wrap-up I Spring 2023
Stanford XCS224U: Natural Language Understanding I Homework 2 I Spring 2023
Stanford XCS224U: NLU I Information Retrieval, Part 1: Guiding Ideas I Spring 2023
Stanford XCS224U: NLU I Information Retrieval, Part 2: Classical IR I Spring 2023
Stanford XCS224U: NLU I Information Retrieval, Part 3: IR metrics I Spring 2023
Stanford XCS224U: NLU I Information Retrieval, Part 4: Neural IR I Spring 2023
Stanford XCS224U: NLU I Information Retrieval, Part 5: Datasets and Conclusion I Spring 2023
Stanford XCS224U: Natural Language Understanding I In-context Learning, Pt 1: Origins I Spring 2023
Stanford XCS224U: NLU I In-context Learning, Part 2: Core Concepts I Spring 2023
Stanford XCS224U: NLU I In-context Learning, Part 3: Current Moment I Spring 2023
Stanford XCS224U: NLU I In-context Learning, Part 4: Techniques and Suggested Methods I Spring 2023
Stanford XCS224U: Natural Language Understanding I Homework 3 I Spring 2023
Stanford XCS224U: NLU I Behavioral Evaluation of NLU Models, Part 1: Overview I Spring 2023
Stanford XCS224U I Behavioral Eval of NLU Models, Pt 2: Analytical Considerations I Spring 2023
Stanford XCS224U: NLU I Behavioral Evaluation of NLU Models, Part 3: Compositionality I Spring 2023
Stanford XCS224U: NLU I Behavioral Evaluation of NLU Models, Part 4: COGS and ReCOGS I Spring 2023
Stanford XCS224U: NLU I Behavioral Evaluation of NLU Models, Pt 5: Adversarial Testing I Spring 2023
Stanford XCS224U: NLU I Behavioral Evaluation of NLU Models, Part 6: Adversarial NLI I Spring 2023
Stanford XCS224U: NLU I Behavioral Eval of NLU Models, Pt 7: DynaSent and Conclusion I Spring 2023
Stanford XCS224U: Natural Language Understanding I Lit Review Overview I Spring 2023
Stanford XCS224U: NLU I Analysis Methods for NLU, Part 1: Overview I Spring 2023
Stanford XCS224U: NLU I Analysis Methods for NLU, Part 2: Probing I Spring 2023
Stanford XCS224U: NLU I Analysis Methods for NLU, Part 3: Feature Attribution I Spring 2023
Stanford XCS224U I Analysis NLU, Pt 4: Casual Abstraction & Interchange Intervention Training (IIT)
Stanford XCS224U: Analysis NLU, Part 5: Distributed Alignment Search (DAS) & Conclusion I Spring 23
Stanford XCS224U: Natural Language Understanding I Experiment Protocol Overview I Spring 2023
Stanford XCS224U: NLU I NLP Methods and Metrics, Part 1: Overview I Spring 2023
Stanford XCS224U: NLU I NLP Methods and Metrics, Part 2: Classifier Metrics I Spring 2023
Stanford XCS224U: NLU I NLP Methods and Metrics, Part 3: Generation Metrics I Spring 2023
Stanford XCS224U: NLU I NLP Methods and Metrics, Part 4: Datasets I Spring 2023
Stanford XCS224U: NLU I NLP Methods and Metrics, Part 5: Data Organization I Spring 2023
Stanford XCS224U: NLU I NLP Methods and Metrics, Part 6: Model Evaluation & Conclusion I Spring 2023
Stanford XCS224U: NLU I Presenting Your Research, Part 1: Your Papers I Spring 2023
Stanford XCS224U: NLU I Presenting Your Research, Part 2: Writing NLP Papers I Spring 2023
Stanford XCS224U: NLU I Presenting Your Research, Part 3: NLP Conference Submission I Spring 2023
Stanford XCS224U: NLU I Presenting Your Research, Part 4: Giving Talks I Spring 2023
Stanford XCS224U: NLU I Fantastic Language Models and How to Build Them, Part 1 I Spring 2023
Stanford XCS224U: NLU I Fantastic Language Models and How to Build Them, Part 2 I Spring 2023

Taught by

Stanford Online

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