Search results for: ANNOTATION VERIFICATION

• Improving medical experts’ efficiency of misinformation detection: an exploratory study

  Publication

  • A. Nabożny
  • B. Balcerzak
  • M. Morzy
  • A. Wierzbicki
  • P. Savov
  • K. Warpechowski

  - WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS - Year 2022

  Fighting medical disinformation in the era of the pandemic is an increasingly important problem. Today, automatic systems for assessing the credibility of medical information do not offer sufficient precision, so human supervision and the involvement of medical expert annotators are required. Our work aims to optimize the utilization of medical experts’ time. We also equip them with tools for semi-automatic initial verification...

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• Collaborative Data Acquisition and Learning Support

  Publication

  • T. M. Boiński
  • J. Szymański

  - International Journal of Computer Information Systems and Industrial Management Applications - Year 2020

  With the constant development of neural networks, traditional algorithms relying on data structures lose their significance as more and more solutions are using AI rather than traditional algorithms. This in turn requires a lot of correctly annotated and informative data samples. In this paper, we propose a crowdsourcing based approach for data acquisition and tagging with support for Active Learning where the system acts as an...

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