Recent work has shown evidence of 'Clever Hans' behavior in high-perform...
Existing approaches for unsupervised bilingual lexicon induction (BLI) o...
Dense vector representations for textual data are crucial in modern NLP....
Recent work has shown that neural feature- and representation-learning, ...
Recent research on style transfer takes inspiration from unsupervised ne...
Cross-lingual natural language processing relies on translation, either ...
Traditional hand-crafted linguistically-informed features have often bee...
For most language combinations, parallel data is either scarce or simply...
Massively multilingual machine translation (MT) has shown impressive
cap...
We propose an automatic language-independent graph-based method to build...
Self-supervised neural machine translation (SS-NMT) learns how to
extrac...
We introduce GeBioToolkit, a tool for extracting multilingual parallel
c...
The success of several architectures to learn semantic representations f...
We analyse coreference phenomena in three neural machine translation sys...
End-to-end neural machine translation has overtaken statistical machine
...
Out-of-vocabulary words account for a large proportion of errors in mach...