Neural Nets for NLP 2018 - Neural Semantic Parsing
Explore neural semantic parsing in this comprehensive lecture from Carnegie Mellon University's Neural Networks for Natural Language Processing course. Delve into tree structures of syntax, semantic representations, and various meaning representations. Examine special-purpose representations, query tasks, command and control tasks, and code generation tasks. Learn about tree-based parsing models, code generation with abstract syntax trees, and the challenges of weakly supervised learning. Investigate first-order logic, Abstract Meaning Representation, and other formalisms. Discover techniques for parsing graph structures, CCG parsing, and neural module networks. Gain insights into neural models for semantic role labeling and the use of deep highway LSTM taggers.