Anastassia Kornilova

While a majority of Natural Language Processing (NLP) models focus on English, the real world requires solutions that work with languages across the globe. This demo shows how effectively users can build cross-language models in Snorkel Flow.

What is data annotation? Data annotation refers to the process of categorizing and labeling data for training datasets. In order for a training dataset to be usable, it must be categorized appropriately and annotated for a specific use case. With Snorkel Flow, organizations can annotate high-quality labeled training data via Labeling Functions and rapidly develop and adapt AI applications by…