Information Extraction with Neural Networks and Free Noisy Supervision

This article likely discusses a research paper or project focused on using neural networks for information extraction tasks. The key aspect seems to be the use of 'free noisy supervision,' which suggests the authors are exploring methods to train models without relying on perfectly labeled data. This is a common challenge in machine learning, and the article probably highlights the techniques used to handle the noise and the performance achieved.