26 citations · 44 across the 9 of their papers we have counts for
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cs.CL2018
Deep Graph Convolutional Encoders for Structured Data to Text Generation
Diego Marcheggiani, Laura Perez-Beltrachini
Most previous work on neural text generation from graph-structured data relies on standard sequence-to-sequence methods. These approaches linearise the input graph to be fed to a r…
cs.CL2018★ 2 cited
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks
Diego Marcheggiani, Jasmijn Bastings, Ivan Titov
Semantic representations have long been argued as potentially useful for enforcing meaning preservation and improving generalization performance of machine translation methods. In…