Neural Nets for NLP 2019: Sentence and Contextualized Word Representations

Neural Nets for NLP 2019: Sentence and Contextualized Word Representations

Explore sentence and contextualized word representations in this comprehensive lecture from CMU's Neural Networks for NLP course. Dive into sentence representations, contextual word representations, and their applications in various NLP tasks. Learn about sentence classification, paraphrase identification, and textual entailment. Discover different types of learning, multi-task learning, and pre-trained representations. Examine language model transfer, context prediction transfer, and entailment transfer. Gain insights into bi-directional language modeling objectives and masked word prediction techniques. Enhance your understanding of advanced NLP concepts and their practical implementations in this in-depth presentation by Graham Neubig.