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.- Anthology ID:
- I17-2003
- Volume:
- Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
- Month:
- November
- Year:
- 2017
- Address:
- Taipei, Taiwan
- Venue:
- IJCNLP
- SIG:
- Publisher:
- Asian Federation of Natural Language Processing
- Note:
- Pages:
- 13–19
- Language:
- URL:
- https://aclanthology.org/I17-2003
- DOI:
- Cite (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.
- Cite (Informal):
- Transferring Semantic Roles Using Translation and Syntactic Information (Aminian et al., IJCNLP 2017)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/I17-2003.pdf