Data Annotation is an important part of Natural Language Processing (NLP) projects. To train a successful NLP model, it is necessary to extract data in an accurate and consistent way, combining different features such as Named-Entity Recognition (NER), Assertion Status Detection, Relation Extraction, and Text Classification.
During this two-day training, you will develop key skills to carry out a complete annotation project using John Snow Labs’ high-productivity annotation tool: The Annotation Lab. You will also learn and practice how to develop effective Annotation Guidelines, best practices for leading a team of annotators to ensure accurate results, and how to track your project’s progress and the quality of your annotations.
This live online training is organized in two five-hour sessions, including practical assignments. The instructors have led multiple large data annotation projects and will be available during the assignments to answer questions. The course ends with a certification exam – completing the hands-on exercises and passing the exam grants a certificate as a Certified Data Annotation Expert.
- Day 1 | April 8, 2021 | 12:00 PM – 5:00 PM EST
- Day 2 | April 8, 2021 | 12:00 PM – 5:00 PM EST
John Snow Labs
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