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Applying Game Rating Systems to Data Labeling

Posted Jun 21, 2021 | Views 1.3K
# Keynote
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Logan Ford
Software Engineer @ Scale AI

Logan Ford is an engineering lead on the NLP and Search Evaluation team where he works on applying data science to ensure quality on subjective labeling use-cases. He previously co-founded Klarity, a Y-Combinator startup using machine learning to analyze legal contracts, and received his B.S. and M.Eng. in Computer Science from MIT.

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SUMMARY

In this tech talk, we show how game rating systems can be applied to NLP and Search relevance data labeling at Scale AI to track the performance of crowd-workers on our platform.

Agenda:

  • The challenge of skill assessment
  • Overview of game rating systems
  • How game rating systems work
  • Analysis of the results, pros & cons, and areas for future improvement
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