@inproceedings{abad-etal-2017-self,
    title = "Self-Crowdsourcing Training for Relation Extraction",
    author = "Abad, Azad  and
      Nabi, Moin  and
      Moschitti, Alessandro",
    editor = "Barzilay, Regina  and
      Kan, Min-Yen",
    booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
    month = jul,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/P17-2082/",
    doi = "10.18653/v1/P17-2082",
    pages = "518--523",
    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."
}