Crowdsourcing natural language data at scale
In this tutorial, we share our unique industry experience in natural language annotation and offer participants to run a real language resource production task.
Overview
In this tutorial, leading researchers and engineers from Toloka will share their unique industry experience in achieving efficient natural language annotation with crowdsourcing. We will introduce data labeling via public crowdsourcing marketplaces and present the key components of efficient label collection.
Then, in the practice session, participants will choose one real language resource production task, experiment with selecting settings for the labeling process, and launch their label collection project on Toloka, one of the world’s largest crowdsourcing marketplaces.
During the tutorial session, all projects will be run on the real Toloka crowd. We will also present useful quality control techniques and give the attendees an opportunity to discuss their own annotation ideas.
Contact us
Natalia Fedorova
Educational Project ManagerDon't hesitate to get in touch with me if you have any questions:Â natfedorova@toloka.aiProfile linkSelf-paced tutorial
You can watch our hands-on tutorial here.
Now that you've learnt about data labeling for ML, try Toloka with this $15 promocode:
DAI21Read about how to activate your promo code here.
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