(Day 58) Stanford CS224N (NLP with DL) Lecture 2 - Neural classifiers (diving deeper into word embeddings)

February 28, 2024

Hello :) Today is Day 58!

A quick summary of today:

  • covered Lecture 2 of Stanford’s NLP with DL
  • did assignment 1 on google colab which covered some exercises on count-based and prediction-based methods
  • Read 6 papers about word embeddings and wrote down some basic summaries
    • GloVe: Global Vectors for Word Representation
    • Improving Distributional Similarity with Lessons Learned from Word Embeddings
    • Evaluation methods for unsupervised word embeddings
    • A Latent Variable Model Approach to PMI-based Word Embeddings
    • Linear Algebraic Structure of Word Senses, with Applications to Polysemy
    • On the Dimensionality of Word Embedding
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