Text Summarization With Graph Attention Networks

Researchers experimented with Graph Attention Networks for text summarization using Rhetorical Structure Theory and co-reference graphs. While the attention approach provided no improvement, a simpler Multi-layer Perceptron architecture improved results on CNN/DM. The team also created the first RST-annotated XSum dataset benchmark for future graph-based summarization research.