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Transactions of the Association for Computational Linguistics· 2017Q1

Enriching Word Vectors with Subword Information

Piotr Bojanowski, Édouard Grave, Armand Joulin, Tomáš Mikolov

Short summary

A new method represents words as sums of character n-grams, enabling faster training and generating representations for unseen words, achieving state-of-the-art performance on word similarity and analogy tasks across nine languages.

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Field: Artificial Intelligence

Artificial IntelligenceComputer Science