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We introduce tiered clustering, a mixture model capable of accounting for varying de- grees of shared (context-independent) fea- ture structure, and demonstrate its applicabil- ity to inferring distributed representations of …...

AbstractIn this paper, we present AnlamVer, which is a semantic model evaluation dataset for Turkish designed to evaluate word similarity and word relatedness tasks while discriminating those two relations from …...

AbstractThis paper presents the first ever comprehensive evaluation of different types of word embeddings for Sinhala language. Three standard word embedding models, namely, Word2Vec (both Skipgram and CBOW), FastText, and …...