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In many languages, sparse availability of resources causes numerous challenges for textual analysis tasks. Text classification is one of such standard tasks that is hindered due to limited availability of label information in lowresource languages. Transferring knowledge (i.e. label information) from high-resource to low-resource languages might improve text classification as compared to the other approaches like machine translation. We introduce BRAVE (Bilingual paRAgraph VEctors), a model todoi:10.18653/v1/n16-1083 dblp:conf/naacl/MogadalaR16 fatcat:z2qri3ovsvhwrhjkqfkw4plxhi