8 citations · 8 across the 1 of their papers we have counts for
5 papers
We Need to Talk About Random Splits
Anders Søgaard, Sebastian Ebert, Jasmijn Bastings +1
Gorman and Bedrick (2019) argued for using random splits rather than standard splits in NLP experiments. We argue that random splits, like standard splits, lead to overly optimisti…
Joey NMT: A Minimalist NMT Toolkit for Novices
Julia Kreutzer, Jasmijn Bastings, Stefan Riezler
We present Joey NMT, a minimalist neural machine translation toolkit based on PyTorch that is specifically designed for novices. Joey NMT provides many popular NMT features in a sm…
Modeling Latent Sentence Structure in Neural Machine Translation
Jasmijn Bastings, Wilker Aziz, Ivan Titov +1
Recently it was shown that linguistic structure predicted by a supervised parser can be beneficial for neural machine translation (NMT). In this work we investigate a more challeng…
Jump to better conclusions: SCAN both left and right
Jasmijn Bastings, Marco Baroni, Jason Weston +2
Lake and Baroni (2018) recently introduced the SCAN data set, which consists of simple commands paired with action sequences and is intended to test the strong generalization abili…
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Jasmijn Bastings, Ivan Titov, Wilker Aziz +2
We present a simple and effective approach to incorporating syntactic structure into neural attention-based encoder-decoder models for machine translation. We rely on graph-convolu…