Papers with context-dependent translation method

1 papers
Neural Cross-Lingual Event Detection with Minimal Parallel Resources (D19-1)

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Challenge: Existing methods for event detection (ED) rely on high-performance machine translation systems or manually aligned documents to achieve a decent performance.
Approach: They propose a method that uses context-dependent translation to construct a lexical mapping between different languages and a shared syntactic order event detector for multilingual co-training.
Outcome: The proposed method performs cross-lingual transfer and tackles the extremely annotation-poor scenario.

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