Information extraction with BERT from free-form text

Jona Welsch's talk centers on using Deep Learning methods like BERT to extract information from unstructured text. A project with idealo serves as a case study, showcasing how rule-based algorithms and Deep Learning can be combined to turn product descriptions into structured data. The talk also touches on creating weakly labeled training data to ease the labeling process.