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Implementing Lightweight Random Indexing for Polylingual Text Classification


Most NLP tasks offer a simple setup: one language and a target. In the real world, we may face with the fact that people speak different languages when building models. This talk will motivate the use of lightweight random indexing (see paper here) to combine data sets across multiple languages and walk through a working implementation.


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