Papers with multi-lingual embedding learning methods

1 papers
Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding (D18-1)

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Challenge: a new approach to multilingual word embedding is needed to achieve this goal . a multilingual common semantic space is a language-agnostic semantic continuous space .
Approach: They propose a multilingual common semantic space where words from multiple languages are mapped into a shared space so that resources and knowledge can be shared across languages.
Outcome: The proposed approach achieves 14.6% absolute F-score gain over state-of-the-art methods on cross-lingual direct transfer.

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