A Majority of Wrongs Doesn’t Make It Right - On Crowdsourcing Quality for Skewed Domain Tasks
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-26190-4_20
Reference23 articles.
1. Sorokin, A., Forsyth, D.: Utility data annotation with amazon mechanical turk. In: 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops (2008)
2. Kazai, G., Craswell, N., Yilmaz, E., Tahaghoghi, S.M.: An analysis of systematic judging errors in information retrieval. In: Proceedings of the 21st ACM International Conference on Information and Knowledge Management - CIKM 2012, p. 105 (2012)
3. Selke, J., Lofi, C., Balke, W.-T.: Pushing the boundaries of crowd-enabled databases with query-driven schema expansion. In: 38th International Conference on Very Large Data Bases (VLDB), pp. 538–549 (2012)
4. Lofi, C., Selke, J., Balke, W.-T.: Information extraction meets crowdsourcing: a promising couple. Datenbank-Spektrum 12(1), 109–120 (2012)
5. Kuncheva, L.I., Whitaker, C.J., Shipp, C.A., Duin, R.P.W.: Limits on the majority vote accuracy in classifier fusion. Pattern Anal. Appl. PAA 6(1), 22–31 (2003)
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