Abstract
In this paper we introduce a self-training strategy for crowdsourcing. The training examples are automatically selected to train the crowd workers. Our experimental results show an impact of 5% Improvement in terms of F1 for relation extraction task, compared to the method based on distant supervision.- Anthology ID:
- P17-2082
- Volume:
- Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Month:
- July
- Year:
- 2017
- Address:
- Vancouver, Canada
- Editors:
- Regina Barzilay, Min-Yen Kan
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 518–523
- Language:
- URL:
- https://preview.aclanthology.org/add_missing_videos/P17-2082/
- DOI:
- 10.18653/v1/P17-2082
- Cite (ACL):
- Azad Abad, Moin Nabi, and Alessandro Moschitti. 2017. Self-Crowdsourcing Training for Relation Extraction. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 518–523, Vancouver, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Self-Crowdsourcing Training for Relation Extraction (Abad et al., ACL 2017)
- PDF:
- https://preview.aclanthology.org/add_missing_videos/P17-2082.pdf