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
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
518–523
Language:
URL:
https://www.aclweb.org/anthology/P17-2082
DOI:
10.18653/v1/P17-2082
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PDF:
http://aclanthology.lst.uni-saarland.de/P17-2082.pdf