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    <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.</abstract>
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%0 Conference Proceedings
%T Self-Crowdsourcing Training for Relation Extraction
%A Abad, Azad
%A Nabi, Moin
%A Moschitti, Alessandro
%S Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2017
%8 jul
%I Association for Computational Linguistics
%C Vancouver, Canada
%F abad-etal-2017-self
%X 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.
%R 10.18653/v1/P17-2082
%U https://aclanthology.org/P17-2082
%U https://doi.org/10.18653/v1/P17-2082
%P 518-523

Markdown (Informal)

[Self-Crowdsourcing Training for Relation Extraction](https://aclanthology.org/P17-2082) (Abad et al., ACL 2017)

• Self-Crowdsourcing Training for Relation Extraction (Abad et al., ACL 2017)

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.