What is it about?
Language-Adversarial Training is a technique for Cross-Lingual Text Classification that only requires monolingual texts during training
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This page is a summary of: Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification, Transactions of the Association for Computational Linguistics, December 2018, The MIT Press,
DOI: 10.1162/tacl_a_00039.
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