Leveraging Crowdsourcing Data for Deep Active Learning An Application: Learning Intents in Alexa

@article{Yang2018LeveragingCD,
  title={Leveraging Crowdsourcing Data for Deep Active Learning An Application: Learning Intents in Alexa},
  author={Jie Yang and Thomas Drake and Andreas C. Damianou and Yoelle Maarek},
  journal={Proceedings of the 2018 World Wide Web Conference},
  year={2018}
}
This paper presents a generic Bayesian framework that enables any deep learning model to actively learn from targeted crowds. Our framework inherits from recent advances in Bayesian deep learning, and extends existing work by considering the targeted crowdsourcing approach, where multiple annotators with unknown expertise contribute an uncontrolled amount (often limited) of annotations. Our framework leverages the low-rank structure in annotations to learn individual annotator expertise, which… 

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