Papers by Bregt Verreet

1 papers
Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs (N19-1)

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Challenge: Recent research has found that a shared bilingual word embedding space can be induced by projecting monolingual word embeds from two languages without any bilingual supervision.
Approach: They propose a framework for learning unsupervised multilingual word embeddings that mitigates instability issues for distant language pairs.
Outcome: The proposed framework outperforms the state-of-the-art methods on two downstream tasks outperforming even supervised baselines.

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