Frustratingly Easy Truth Discovery
نویسندگان
چکیده
Truth discovery is a general name for broad range of statistical methods aimed to extract the correct answers questions, based on multiple coming from noisy sources. For example, workers in crowdsourcing platform. In this paper, we consider an extremely simple heuristic estimating workers' competence using average proximity other workers. We prove that estimates well actual level and enables separating high low quality wide spectrum domains models. Under Gaussian noise, estimate unique solution MLE with constant regularization factor. Finally, weighing according their setting, results substantial improvement over unweighted aggregation truth algorithms practice.
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ژورنال
عنوان ژورنال: Proceedings of the ... AAAI Conference on Artificial Intelligence
سال: 2023
ISSN: ['2159-5399', '2374-3468']
DOI: https://doi.org/10.1609/aaai.v37i5.25750