Enriching Word Vectors with Subword Information

TACL 2017 Piotr Bojanowski • Edouard Grave • Armand Joulin • Tomas Mikolov

Continuous word representations, trained on large unlabeled corpora are useful for many natural language processing tasks. This is a limitation, especially for languages with large vocabularies and many rare words. A vector representation is associated to each character $n$-gram; words being represented as the sum of these representations.

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