Prompting with natural language instructions has recently emerged as a
p...
We aim to investigate whether UNMT approaches with self-supervised
pre-t...
In this paper we explore the task of modeling (semi) structured object
s...
We present, Naamapadam, the largest publicly available Named Entity
Reco...
We explore the impact of leveraging the relatedness of languages that be...
Recent advances in Unsupervised Neural Machine Translation (UNMT) have
m...
Denoising-based Unsupervised Neural Machine Translation (U-NMT) models
t...
Transfer learning approaches for Neural Machine Translation (NMT) train ...
Most state of the art approaches for Named Entity Recognition rely on ha...