Word Embeddings and Self-Supervised Learning in Natural Language Processing - Lecture 8

Learn about word embeddings and self-supervised learning in this comprehensive lecture that explores PPMI vectors, popular embedding techniques like Word2Vec and GloVe, and advanced contextual embedding models including ELMo, RoBERTa, and GPT. Dive deep into the fundamental concepts and practical applications of natural language processing while understanding how different embedding approaches capture semantic relationships between words.