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Poetry2vec: What We Can Learn from the Distributive Vector Models Trained on Russian Poetic Corpus?

Sun, November 15, 8:00 to 9:30am, Virtual Convention Platform, Room 15

Abstract

Word2Vec algorithms became very popular not only in traditional NLP tasks but also in research computational area. I trained distributive models on the collection of Russian poetic corpus (12 mln tokens) and compared it with the models trained on the prose corpus of the same periods. My analysis showed the specificity of the poetic semantics.

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