Matrix Factorization: Linking Text to Knowledge Bases

This lecture covers the concept of distant supervision for linking text to knowledge bases, using entity extraction to collect training data and predict relations. It explains how text features are matched to knowledge base entities and how classifiers are trained to predict relations. The instructor discusses the challenges and benefits of distant supervision, including the use of complex features and conjunctions for high precision. Examples and practical applications are provided to illustrate the process.