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        <title>Transferring Semantic Roles Using Translation and Syntactic Information</title>
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        <namePart type="given">Maryam</namePart>
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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.</abstract>
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%0 Conference Proceedings
%T Transferring Semantic Roles Using Translation and Syntactic Information
%A Aminian, Maryam
%A Rasooli, Mohammad Sadegh
%A Diab, Mona
%Y Kondrak, Greg
%Y Watanabe, Taro
%S Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
%D 2017
%8 November
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F aminian-etal-2017-transferring
%X 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.
%U https://aclanthology.org/I17-2003
%P 13-19

Markdown (Informal)

[Transferring Semantic Roles Using Translation and Syntactic Information](https://aclanthology.org/I17-2003) (Aminian et al., IJCNLP 2017)

• Transferring Semantic Roles Using Translation and Syntactic Information (Aminian et al., IJCNLP 2017)

ACL

• Maryam Aminian, Mohammad Sadegh Rasooli, and Mona Diab. 2017. Transferring Semantic Roles Using Translation and Syntactic Information. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 13–19, Taipei, Taiwan. Asian Federation of Natural Language Processing.