Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours
- EMNLP 2022
Yannis Katsis is a Senior Research Scientist at IBM Research, Almaden with expertise in the management, integration, and extraction of knowledge from structured, semi-structured, and unstructured data. In his recent work, Yannis focuses on lowering the barrier of entry to knowledge extraction by designing, analyzing, and building human-in-the-loop systems that enable domain experts to interactively generate knowledge extraction AI models that serve their needs. Yannis received his PhD in Computer Science from the University of California, San Diego. His work has appeared in top conferences and journals in the areas of data management, natural language processing, and human-computer interaction, and has been leveraged for multiple IBM products.
News: Check out Label Sleuth; our open-source no-code system for building text classifiers; no AI knowledge required!