Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types

Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types Paul Felt author Eric Ringger author Jordan Boyd-Graber author Kevin Seppi author 2018-08 text Proceedings of the 27th International Conference on Computational Linguistics Emily M Bender editor Leon Derczynski editor Pierre Isabelle editor Association for Computational Linguistics Santa Fe, New Mexico, USA conference publication felt-etal-2018-learning https://aclanthology.org/C18-1144/ 2018-08 1694 1704