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Philip Schulz

2 accepted papers

2022

Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data

NAACL 2022long

Providing technologies to communities or domains where training data is scarce or protected e.g., for privacy reasons, is becoming increasingly important. To that end, we generalise methods for unsupervised transfer from multiple input models for structured prediction. We show that the means of aggr…