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In this work, we present a novel neural network based architecture for inducing compositional crosslingual word representations.
Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms
Collins, Michael · 2002
Earlier work this paper cites.
RCV1: A New Benchmark Collection for Text Categorization Research
Lewis, David D., Yang, Yiming, Rose, Tony G., and Li, Fan · 2004
Earlier work this paper cites.
Europarl: A parallel corpus for statistical machine translation
Koehn, Philipp · 2005
Earlier work this paper cites.
Unsupervised Multilingual Sentence Boundary Detection
Kiss, Tibor and Strunk, Jan · 2006
Earlier work this paper cites.
A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning
Collobert, Ronan and Weston, Jason · 2008
Earlier work this paper cites.
Co-training for Cross-lingual Sentiment Classification
Wan, Xiaojun · 2009
Cited alongside, same era.
Word representations: A simple and general method for semi-supervised learning
Turian, Joseph, Ratinov, Lev-Arie, and Bengio, Yoshua · 2010
Cited alongside, same era.
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
Duchi, John, Hazan, Elad, and Singer, Yoram · 2011
Cited alongside, same era.
Julia: A Fast Dynamic Language for Technical Computing
Bezanson, Jeff, Karpinski, Stefan, Shah, Viral B., and Edelman, Alan · 2012
Cited alongside, same era.
Inducing Crosslingual Distributed Representations of Words
Klementiev, Alexandre, Titov, Ivan, and Bhattarai, Binod · 2012
Cited alongside, same era.
Efficient Estimation of Word Representations in Vector Space
Mikolov, Tomas, Chen, Kai, Corrado, Greg, and Dean, Jeffrey
Cited in the paper.
Exploiting Similarities among Languages for Machine Translation
Mikolov, Tomas, Le, Quoc V., and Sutskever, Ilya
Cited in the paper.
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Socher, Richard, Perelygin, Alex, Wu, Jean, Chuang, Jason, Manning, Christopher D., Ng, Andrew, and Potts, Christopher · 2013
Later among the works it cites.
Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors
Baroni, Marco, Dinu, Georgiana, and Kruszewski, Germán · 2014
Closest in time.
An Autoencoder Approach to Learning Bilingual Word Representations
Chandar A P, Sarath, Lauly, Stanislas, Larochelle, Hugo, Khapra, Mitesh, Ravindran, Balaraman, Raykar, Vikas C, and Saha, Amrita · 2014
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BilBOWA: Fast Bilingual Distributed Representations without Word Alignments
Gouws, Stephan, Bengio, Yoshua, and Corrado, Greg · 2014
Closest in time.
Multilingual Models for Compositional Distributed Semantics
Hermann, Karl Moritz and Blunsom, Phil · 2014
Closest in time.
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