A Domain-Aware Crowdsourcing System with Copier Removal
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0416-7_78
Reference20 articles.
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2. Dawid, A.P., Skene, A.M.: Maximum likelihood estimation of observer error-rates using the em algorithm. Appl. Stat. 28(1), 20–28 (1979)
3. Demartini, G., Difallah, D.E., Cudré-Mauroux, P.: Zencrowd: leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking. In: WWW, pp. 469–478 (2012)
4. Eickhoff, C.: Cognitive biases in crowdsourcing. In: WSDM, pp. 162–170 (2018)
5. Fan, J., Lu, M., Ooi, B.C., Tan, W., Zhang, M.: A hybrid machine-crowdsourcing system for matching web tables. In: ICDE, pp. 976–987 (2014)
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