Neural Nets for NLP 2019 - Document Level Models

Neural Nets for NLP 2019 - Document Level Models

Explore document-level models in natural language processing through this comprehensive lecture on coreference resolution and discourse parsing. Dive into various coreference models, including mention pair and entity models, and understand the advantages of neural network approaches. Learn about document-level language modeling, methods for evaluating document coherence, and techniques for mention detection. Examine end-to-end neural coreference systems and their applications in neural models. Investigate discourse parsing, including shift-reduce parsing and attention-based hierarchical neural networks. Discover how to leverage discourse structure in neural models to enhance NLP tasks.