Expertise-Aware Crowdsourcing Taxonomy Enrichment

Author:

Wang Yuquan,Wang Yanpeng,Mao Yiming,Yu Jifan,Zeng Kaisheng,Hou Lei,Li Juanzi,Tang Jie

Publisher

Springer International Publishing

Reference39 articles.

1. Abacha, A.B., Zweigenbaum, P.: MEANS: a medical question-answering system combining NLP techniques and semantic web technologies. Inf. Process. Manag. 51(5), 570–594 (2015)

2. Boim, R., Greenshpan, O., Milo, T., Novgorodov, S., Polyzotis, N., Tan, W.C.: Asking the right questions in crowd data sourcing. In: ICDE 2012. IEEE (2012)

3. Bragg, J., Weld, D.S., et al.: Crowdsourcing multi-label classification for taxonomy creation. In: First AAAI Conference on Human Computation and Crowdsourcing (2013)

4. Chilton, L.B., Little, G., Edge, D., Weld, D.S., Landay, J.A.: Cascade: crowdsourcing taxonomy creation. In: CHI 2013, pp. 1999–2008. ACM (2013)

5. Dawid, A.P., Skene, A.M.: Maximum likelihood estimation of observer error-rates using the EM algorithm. J. Roy. Stat. Soc.: Ser. C (Appl. Stat.) 28(1), 20–28 (1979)

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