Neural Nets for NLP 2020 - Document Level Models

Neural Nets for NLP 2020 - Document Level Models

Learn about document-level natural language processing in this lecture from CMU's Neural Networks for NLP course. Explore document-level language modeling techniques, including recurrent networks and self-attention mechanisms. Dive into entity coreference resolution, covering mention detection, mention pair models, and entity-level distributed representations. Examine discourse parsing using attention-based hierarchical neural networks. Gain insights into applying these advanced NLP concepts to tasks spanning multiple sentences and entire documents.