Make data preparation faster and more impactful with comprehensive and collaborative labeling
Working on natural language projects often requires understanding of domain specific terms and jargon. Some annotation activities even require high value and scarce subject matter experts to become the lead annotators and labelers. While some machine learning approaches can be used to perform information extraction, gold standard annotation quality requires domain specific datasets for success training and validation activities.
Quickly turn any user, including developers, knowledge engineers, computational linguists, and data scientists, into an annotation expert to scale your projects with a simple and easy to use interface that lets you explore and annotate a wide variety of different data point types. Expert.ai’s active learning annotation capabilities improve the efficiency and effectiveness of data labelling activities by employing machine learning to learn from existing annotations and create annotations suggestions to the user across the project corpus. Users can save time propagate annotations throughout an entire corpus.
By embedding the capabilities of expert.ai natural language understanding, expert.ai Platform annotation streamlines the annotation process. With out-of-the-box semantic text analytics, users can easily disambiguate extracted tokens, concepts, and entities within annotated documents.
Don’t drown in data labelling when there is a smarter choice to annotate unstructured text rapidly and accurately.