Papers with Unsupervised Bilingual Word Embeddings

1 papers
Unsupervised Multilingual Word Embeddings (D18-1)

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Challenge: Prior art for learning UMWEs relies on a number of independently trained UBWEs to obtain multilingual embeddings.
Approach: They propose a fully unsupervised framework that exploits the relations between all language pairs to learn multilingual embeddings without cross-lingual supervision.
Outcome: The proposed framework outperforms supervised approaches on multilingual word translation and cross-lingual word similarity and beats a number of other approaches trained with cross-linguistic resources.

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