Knowledge Inference: Entity Disambiguation and Graph Embeddings

This lecture covers the process of knowledge inference, focusing on entity disambiguation and graph embeddings. Topics include information extraction, knowledge base completion models, scoring functions, and learning methods. The instructor discusses the TransE model, label propagation, and personalized PageRank for named entity disambiguation.