Inducing Crosslingual Distributed Representations of Words Dr. Alexandre Klementiev

Yandex School of Data Analysis Conference Machine Learning: Prospects and Applications Distributed representations of words have proven extremely useful in numerous natural language processing tasks. Their appeal is that they can help alleviate data sparsity problems common to supervised learning. Methods for inducing these representations require only unlabeled lan guage data, which are plentiful for many natural languages. In this work, we induce distributed repr