We provide a powerful annotation tool that supports plentiful machine learning and deep learning models. Its main focus is natural language processing with variety of different NLP tasks.
Ensuring high-quality annotations by novel document distribution methods that enable annotator cooperation. Advanced statistics measure inter-annotator agreement by annotation rounds, which helps manage multiple annotators and provide the desired standard of produced annotations.
Human annotators work in tandem with modern machine learning models to optimize the annotation process. The model's performance is tracked throughout the annotation process and forecasted for future annotation rounds to facilitate the stopping decision.
