Transferring Semantic Roles Using Translation and Syntactic Information
Computation and Language
2017-10-05 v1
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 absolute labeled F-score improvement over a standard annotation projection method.
Cite
@article{arxiv.1710.01411,
title = {Transferring Semantic Roles Using Translation and Syntactic Information},
author = {Maryam Aminian and Mohammad Sadegh Rasooli and Mona Diab},
journal= {arXiv preprint arXiv:1710.01411},
year = {2017}
}