From unlabeled text to a working classifier in a few hours

Text-analysis AI models have become part of everyday life, finishing your sentences, translating the web, and summarizing long passages of text. But adapting them to new tasks typically requires a domain expert to label new examples and a machine-learning expert to train the new model. "In the real world, you need to tweak and customize the out-of-the-box model," said Eyal Shnarch, an IBM researcher who specializes in natural language processing. "But there aren't enough machine-learning experts for everyone who wants a customized model." Label Sleuth is meant to change that.