Papers with cross-lingual relation classifier

1 papers
Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation (D19-1)

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Challenge: Existing work characterizes differences in meaning between words across languages using semantic relations . however, because of translation ambiguity, semantic relations are not always preserved by translation.
Approach: They propose a cross-lingual relation classifier trained only with English examples and a bilingual dictionary to account for translation ambiguity when transferring knowledge from English to cross-linguistic settings.
Outcome: The proposed model outperforms baselines that rely on bilingual embeddings or dictionaries for cross-lingual transfer and approaches fully supervised systems on English tasks.

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