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Lecture
Graph-to-Graph Transformers: Syntax-aware Graph Encoding
Description
This lecture covers the Syntax-aware Graph-to-Graph Transformer architecture, which improves the input of graph relations into the self-attention mechanism of the Transformer model. It enables effective conditioning on syntactic dependency graphs for predicting both dependency-based and span-based semantic role labelling graphs.
Official source
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