Modeling Graph Structure via Relative Position for Better Text Generation from Knowledge Graphs

16 Jun 2020Martin SchmittLeonardo F. R. RibeiroPhilipp DufterIryna GurevychHinrich Schütze

We present a novel encoder-decoder architecture for graph-to-text generation based on Transformer, called the Graformer. With our novel graph self-attention, every node in the input graph is taken into account for the encoding of every other node - not only direct neighbors, facilitating the detection of global patterns... (read more)

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