Yaocheng Gui

DynGL-SDP: Dynamic Graph Learning for Semantic Dependency Parsing

A recent success in semantic dependency parsing shows that graph neural networks can make significant accuracy improvements, owing to its powerful ability in learning expressive graph representations. However, this work learns graph representations based on a static graph constructed by an existing…