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Transferring Semantic Roles Using Translation and Syntactic Information

2017-10-03IJCNLP 2017Unverified0· sign in to hype

Maryam Aminian, Mohammad Sadegh Rasooli, Mona Diab

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Abstract

Our paper addresses the problem of annotation projection for semantic role labeling for resource-poor languages using supervised annotations from a resource-rich language through parallel data. We propose a transfer method that employs information from source and target syntactic dependencies as well as word alignment density to improve the quality of an iterative bootstrapping method. Our experiments yield a 3.5 absolute labeled F-score improvement over a standard annotation projection method.

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