310 citations · 660 across the 22 of their papers we have counts for
4 papers · 1 filter
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation
Xiao Pu, Nikolaos Pappas, James Henderson +1
This paper demonstrates that word sense disambiguation (WSD) can improve neural machine translation (NMT) by widening the source context considered when modeling the senses of pote…
Document-Level Neural Machine Translation with Hierarchical Attention Networks
Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas +1
Neural Machine Translation (NMT) can be improved by including document-level contextual information. For this purpose, we propose a hierarchical attention model to capture the cont…
Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation
Nikolaos Pappas, Lesly Miculicich Werlen, James Henderson
Tying the weights of the target word embeddings with the target word classifiers of neural machine translation models leads to faster training and often to better translation quali…
GILE: A Generalized Input-Label Embedding for Text Classification
Nikolaos Pappas, James Henderson
Neural text classification models typically treat output labels as categorical variables which lack description and semantics. This forces their parametrization to be dependent on…