(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