CMU Advanced NLP: Pre-training Methods

Explore advanced natural language processing techniques in this comprehensive lecture on pre-training methods. Delve into multi-task learning concepts, sentence embeddings, BERT and its variants, and alternative language modeling objectives. Gain insights into sentence representations, semantic similarity, textual entailment, and various pretraining approaches including autoencoders, skip-thought vectors, and paraphrase-based contrastive learning. Examine the impact of context and masking in language models, and understand the applications of these techniques in real-world NLP tasks.