2 papers
cs.CL2019
Interpretable Neural Predictions with Differentiable Binary Variables
Jasmijn Bastings, Wilker Aziz, Ivan Titov
The success of neural networks comes hand in hand with a desire for more interpretability. We focus on text classifiers and make them more interpretable by having them provide a ju…
cs.CL2018
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…