activity
20182026
most citedExploiting Semantics in Neural Machine Translation with Graph Convolutional Networks

2 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing 2018Show all

2 papers · 1 filter

cs.CL2018

Question Answering by Reasoning Across Documents with Graph Convolutional Networks

Nicola De Cao, Wilker Aziz, Ivan Titov

Most research in reading comprehension has focused on answering questions based on individual documents or even single paragraphs. We introduce a neural model which integrates and…

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…