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Communication Dans Un Congrès Année : 2016

ThePlantGame: Actively Training Human Annotators for Domain-specific Crowdsourcing

Alexis Joly
Julien Champ
Esther Pacitti

Résumé

In a typical citizen science/crowdsourcing environment, the contributors label items. When there are few labels, it is straightforward to train contributors and judge the quality of their labels by giving a few examples with known answers. Neither is true when there are thousands of domain-specic labels and annotators with heterogeneous skills. This demo paper presents an Active User Training framework implemented as a serious game called The- PlantGame. It is based on a set of data-driven algorithms allowing to (i) actively train annotators, and (ii) evaluate the quality of contributors’ answers on new test items to optimize predictions.
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hal-01373769 , version 1 (03-10-2016)

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Maximilien Servajean, Alexis Joly, Dennis Shasha, Julien Champ, Esther Pacitti. ThePlantGame: Actively Training Human Annotators for Domain-specific Crowdsourcing. MM 2016 - 24th International Conference on Multimedia, Oct 2016, Amsterdam, Netherlands. pp.720-721, ⟨10.1145/2964284.2973820⟩. ⟨hal-01373769⟩
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