310 citations
- École Polytechnique Fédérale de LausanneCH87 papers
- Institut Denis PoissonFR42 papers
- Université de ToursFR37 papers
- Université d'OrléansFR37 papers
- Centre National de la Recherche ScientifiqueFR10 papers
- Brno University of TechnologyCZ7 papers
- CERMICSFR7 papers
- University of ManchesterGB7 papers
- Italian Institute of TechnologyIT6 papers
- Queen Mary University of LondonGB6 papers
- University of BernCH6 papers
- Institute for Scientific and Technological ResearchMX5 papers
Showing 2018 · cs.CLShow all
3 papers · 2 filters
cs.CL2018★ 5 cited
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…
cs.CL2018
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…
cs.CL2018★ 2 cited
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…