Multilingual machine translation (MMT), trained on a mixture of parallel...
A major open problem in neural machine translation (NMT) is the translat...
Multilingual machine translation suffers from negative interference acro...
Unsupervised cross-lingual pretraining has achieved strong results in ne...
The scarcity of large parallel corpora is an important obstacle for neur...
In this paper, we present a novel approach for incorporating external
kn...
Neural sequence-to-sequence models are currently the dominant approach i...
A growing number of state-of-the-art transfer learning methods employ
la...
We investigate the performance of features that can capture nonlinear
re...
In this paper we present our approach to tackle the Implicit Emotion Sha...
In this paper we present two deep-learning systems that competed at
SemE...
In this paper we present deep-learning models that submitted to the
SemE...
In this paper we present a deep-learning model that competed at SemEval-...