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Our paper addresses the problem of annotation projection for semantic rolelabeling for resource-poor languages using supervised annotations from aresource-rich language through parallel data. We propose a transfer method thatemploys information from source and target syntactic dependencies as well asword alignment density to improve the quality of an iterative bootstrappingmethod. Our experiments yield a $3.5$ absolute labeled F-score improvement overa standard annotation projection method.

Transferring Semantic Roles Using Translation and Syntactic Information