Completed
Homework 1: Word Relatedness | Stanford CS224U Natural Language Understanding | Spring 2021
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Stanford CS224U - Natural Language Understanding - Spring 2021
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- 1 Introduction and Welcome | Stanford CS224U Natural Language Understanding | Spring 2021
- 2 Course Overview | Stanford CS224U Natural Language Understanding | Spring 2021
- 3 Homework 1: Word Relatedness | Stanford CS224U Natural Language Understanding | Spring 2021
- 4 High-level Goals & Guiding Hypotheses | Stanford CS224U Natural Language Understanding | Spring 2021
- 5 Matrix Designs | Stanford CS224U Natural Language Understanding | Spring 2021
- 6 Vector Comparison | Stanford CS224U Natural Language Understanding | Spring 2021
- 7 Basic Reweighting | Stanford CS224U Natural Language Understanding | Spring 2021
- 8 Dimensionality Reduction | Stanford CS224U Natural Language Understanding | Spring 2021
- 9 Retrofitting | Stanford CS224U Natural Language Understanding | Spring 2021
- 10 Static Representations | Stanford CS224U Natural Language Understanding | Spring 2021
- 11 Homework 2: Sentiment Analysis | Stanford CS224U Natural Language Understanding | Spring 2021
- 12 Sentiment Analysis | Stanford CS224U Natural Language Understanding | Spring 2021
- 13 General Practical Tips | Stanford CS224U Natural Language Understanding | Spring 2021
- 14 Stanford Sentiment Treebank | Stanford CS224U Natural Language Understanding | Spring 2021
- 15 DynaSent | Stanford CS224U Natural Language Understanding | Spring 2021
- 16 sst.py | Stanford CS224U Natural Language Understanding | Spring 2021
- 17 Hyperparameter Search | Stanford CS224U Natural Language Understanding | Spring 2021
- 18 Feature Representation | Stanford CS224U Natural Language Understanding | Spring 2021
- 19 RNN Classifiers | Stanford CS224U Natural Language Understanding | Spring 2021
- 20 Contextual Representation Models | Stanford CS224U Natural Language Understanding | Spring 2021
- 21 Transformers | Stanford CS224U Natural Language Understanding | Spring 2021
- 22 BERT | Stanford CS224U Natural Language Understanding | Spring 2021
- 23 RoBERTa | Stanford CS224U Natural Language Understanding | Spring 2021
- 24 ELECTRA | Stanford CS224U Natural Language Understanding | Spring 2021
- 25 Practical Fine-tuning | Stanford CS224U Natural Language Understanding | Spring 2021
- 26 Homework 3: Colors | Stanford CS224U Natural Language Understanding | Spring 2021
- 27 Grounded Language Understanding | Stanford CS224U Natural Language Understanding | Spring 2021
- 28 Speakers | Stanford CS224U Natural Language Understanding | Spring 2021
- 29 Listeners | Stanford CS224U Natural Language Understanding | Spring 2021
- 30 Varieties of contextual grounding | Stanford CS224U Natural Language Understanding | Spring 2021
- 31 The Rational Speech Acts Model | Stanford CS224U Natural Language Understanding | Spring 2021
- 32 Neural RSA | Stanford CS224U Natural Language Understanding | Spring 2021
- 33 Natural Language Inference | Stanford CS224U Natural Language Understanding | Spring 2021
- 34 SNLI, MultiNLI, and Adversarial NLI | Stanford CS224U Natural Language Understanding | Spring 2021
- 35 Adversarial Testing | Stanford CS224U Natural Language Understanding | Spring 2021
- 36 Modeling Strategies | Stanford CS224U Natural Language Understanding | Spring 2021
- 37 Attention | Stanford CS224U Natural Language Understanding | Spring 2021
- 38 NLU and Information Retrieval | Stanford CS224U Natural Language Understanding | Spring 2021
- 39 Classical IR | Stanford CS224U Natural Language Understanding | Spring 2021
- 40 Neural IR, part 1 | Stanford CS224U Natural Language Understanding | Spring 2021
- 41 Neural IR, part 2 | Stanford CS224U Natural Language Understanding | Spring 2021
- 42 Neural IR, part 3 | Stanford CS224U Natural Language Understanding | Spring 2021
- 43 Relation Extraction | Stanford CS224U Natural Language Understanding | Spring 2021
- 44 Data Resources | Stanford CS224U Natural Language Understanding | Spring 2021
- 45 Problem Formulation | Stanford CS224U Natural Language Understanding | Spring 2021
- 46 Evaluation | Stanford CS224U Natural Language Understanding | Spring 2021
- 47 Simple Baselines | Stanford CS224U Natural Language Understanding | Spring 2021
- 48 Directions to Explore | Stanford CS224U Natural Language Understanding | Spring 2021
- 49 Overview of Analysis Methods in NLP | Stanford CS224U Natural Language Understanding | Spring 2021
- 50 Adversarial Testing | Stanford CS224U Natural Language Understanding | Spring 2021
- 51 Adversarial Training (and Testing) | Stanford CS224U Natural Language Understanding | Spring 2021
- 52 Probing | Stanford CS224U Natural Language Understanding | Spring 2021
- 53 Feature Attribution | Stanford CS224U Natural Language Understanding | Spring 2021
- 54 Overview of Methods and Metrics | Stanford CS224U Natural Language Understanding | Spring 2021
- 55 Classifier Metrics | Stanford CS224U Natural Language Understanding | Spring 2021
- 56 Natural Language Generation Metrics | Stanford CS224U Natural Language Understanding | Spring 2021
- 57 Data Organization | Stanford CS224U Natural Language Understanding | Spring 2021
- 58 Model Evaluation | Stanford CS224U Natural Language Understanding | Spring 2021
- 59 Presenting Your Work: Final Papers | Stanford CS224U Natural Language Understanding | Spring 2021
- 60 Writing NLP papers | Stanford CS224U Natural Language Understanding | Spring 2021
- 61 NLP Conference Submissions | Stanford CS224U Natural Language Understanding | Spring 2021
- 62 Giving Talks | Stanford CS224U Natural Language Understanding | Spring 2021
- 63 Conclusion | Stanford CS224U Natural Language Understanding | Spring 2021
