Papers with cross-lingual hypernymy detection

1 papers
Robust Cross-Lingual Hypernymy Detection Using Dependency Context (N18-1)

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Challenge: Existing approaches to cross-lingual hypernymy detection are sparse and can be trained on related languages with negligible loss of performance.
Approach: They propose a family of unsupervised approaches for cross-lingual hypernymy detection which learns sparse, bilingual word embeddings based on dependency contexts.
Outcome: The proposed approach significantly improves performance on this task, compared to approaches based only on lexical context.

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