Neural Machine Translation (NMT) models are typically trained on
heterog...
The success of Neural Machine Translation (NMT) largely depends on the
a...
Although coherence modeling has come a long way in developing novel mode...
Most of the successful and predominant methods for bilingual lexicon
ind...
Recently, neural approaches to coherence modeling have achieved
state-of...
Adversarial training has shown impressive success in learning bilingual
...
We address the problem of speech act recognition (SAR) in asynchronous
c...
We propose a novel coherence model for written asynchronous conversation...