Self-Crowdsourcing Training for Relation Extraction

Azad Abad, Moin Nabi, Alessandro Moschitti


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://aclanthology.org/P17-2082
DOI:
10.18653/v1/P17-2082
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/P17-2082.pdf