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Cross-lingual text classification(CLTC) is the task of classifying documents written in different languages into the same taxonomy of categories.
Combining labeled and unlabeled data with co-training
Avrim Blum and Tom Mitchell. 1998 · 1998
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Automatic cross-language information retrieval using latent semantic indexing
Michael L Littman, Susan T Dumais, and Thomas K Landauer. 1998 · 1998
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Inferring a semantic representation of text via cross-language correlation analysis
Alexei Vinokourov, John Shawe-Taylor, and Nello Cristianini. 2002 · 2002
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Cross-lingual text categorization
Nuria Bel, Cornelis HA Koster, and Marta Villegas. 2003 · 2003
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Learning multilingual subjective language via cross-lingual projections
Rada Mihalcea, Carmen Banea, and Janyce M Wiebe. 2007 · 2007
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Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton. 2008 · 2008
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Learning from multiple partially observed views-an application to multilingual text categorization
Massih Amini, Nicolas Usunier, and Cyril Goutte. 2009 · 2009
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Co-training for cross-lingual sentiment classification
Xiaojun Wan. 2009 · 2009
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Translingual document representations from discriminative projections
John C Platt, Kristina Toutanova, and Wen-tau Yih. 2010 · 2010
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Cross-language text classification using structural correspondence learning
Peter Prettenhofer and Benno Stein. 2010 · 2010
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Cross language text classification by model translation and semi-supervised learning
Lei Shi, Rada Mihalcea, and Mingjun Tian. 2010 · 2010
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Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011 · 2011
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Knowledge transfer across multilingual corpora via latent topics
Wim De Smet, Jie Tang, and Marie-Francine Moens. 2011 · 2011
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Is machine translation ripe for cross-lingual sentiment classification?
Kevin Duh, Akinori Fujino, and Masaaki Nagata. 2011 · 2011
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Improving bilingual projections via sparse covariance matrices
Jagadeesh Jagarlamudi, Raghavendra Udupa, Hal Daumé III, and Abhijit Bhole. 2011 · 2011
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Joint bilingual sentiment classification with unlabeled parallel corpora
Bin Lu, Chenhao Tan, Claire Cardie, and Benjamin K Tsou. 2011 · 2011
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Marginalized denoising autoencoders for domain adaptation
Minmin Chen, Zhixiang Xu, Kilian Weinberger, and Fei Sha. 2012 · 2012
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Transductive representation learning for cross-lingual text classification
Yuhong Guo and Min Xiao. 2012b · 2012
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Cross-lingual mixture model for sentiment classification
Xinfan Meng, Furu Wei, Xiaohua Liu, Ming Zhou, Ge Xu, and Houfeng Wang. 2012 · 2012
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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Cross modal distillation for supervision transfer
Saurabh Gupta, Judy Hoffman, and Jitendra Malik. 2015 · 2015
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean. 2015 · 2015
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Deep unordered composition rivals syntactic methods for text classification
Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, and Hal Daumé III. 2015 · 2015
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Recurrent convolutional neural networks for text classification
Siwei Lai, Liheng Xu, Kang Liu, and Jun Zhao. 2015 · 2015
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An empirical study on sentiment classification of chinese review using word embedding
Yiou Lin, Hang Lei, Jia Wu, and Xiaoyu Li. 2015 · 2015
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A novel two-step method for cross language representation learning
Min Xiao and Yuhong Guo. 2013 · 2013
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Do deep nets really need to be deep?
Jimmy Ba and Rich Caruana. 2014 · 2014
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Unsupervised domain adaptation by backpropagation
Yaroslav Ganin and Victor Lempitsky. 2014 · 2014
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Effective use of word order for text categorization with convolutional neural networks
Rie Johnson and Tong Zhang. 2014 · 2014
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Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
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Fitnets: Hints for thin deep nets
Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, and Yoshua Bengio. 2014 · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
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Distilling word embeddings: An encoding approach
Lili Mou, Ge Li, Yan Xu, Lu Zhang, and Zhi Jin. 2015 · 2015
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Character-level convolutional networks for text classification
Xiang Zhang, Junbo Zhao, and Yann LeCun. 2015 · 2015
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Learning bilingual sentiment word embeddings for cross-language sentiment classification
Huiwei Zhou, Long Chen, Fulin Shi, and Degen Huang. 2015 · 2015
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Adversarial deep averaging networks for cross-lingual sentiment classification
Xilun Chen, Ben Athiwaratkun, Yu Sun, Kilian Weinberger, and Claire Cardie. 2016 · 2016
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Supervised and semi-supervised text categorization using lstm for region embeddings
Rie Johnson and Tong Zhang. 2016 · 2016
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Sequence-level knowledge distillation
Yoon Kim and Alexander M Rush. 2016 · 2016
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Cross-lingual text classification via model translation with limited dictionaries
Ruochen Xu, Yiming Yang, Hanxiao Liu, and Andrew Hsi. 2016 · 2016
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Hierarchical attention networks for document classification
Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy. 2016 · 2016
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Dependency sensitive convolutional neural networks for modeling sentences and documents
Rui Zhang, Honglak Lee, and Dragomir Radev. 2016 · 2016
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