Spark NLP Training

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 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. The instructors have led multiple large data annotation projects and will be available during the assignments to answer questions.