Natural Language Processing · TEE · read-chapter

Vector semantics and word embeddings

TEE · Unit 5 PDF pages 58–118

1. Distributional hypothesis and a co-occurrence matrix
2. Sparse, dense, distributional and distributed
3. Word2Vec: CBOW and skip-gram from training pairs
4. Word analogies and sentence embeddings