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► Topic: How to collect high-quality data to power your machine learning systems
► Speakers:
Lily Ng, analytical linguist at Grammarly
Lena Nahorna, analytical linguist at Grammarly
► Who will benefit from this: Computational and analytical linguists, engineers, researchers – anyone involved in data annotation projects.
► Date: May 12, 2022
► Language: English
► Lecture summary: The quality of annotated data has a huge impact on the quality of systems trained on this data. Collecting high-quality data is a complex process that includes selecting the best data for your use case, producing thoughtful annotation guidelines and job design, and assessing and improving the quality of your dataset. Analytical linguists at Grammarly have repeated this process and have insights to share with those who are or will be involved in data annotation projects
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