Lecture

Knowledge Inference: Entity Disambiguation and Graph Embeddings

Description

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.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_x33ze24t

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Ontological neighbourhood

Information engineering

Artificial intelligence: Knowledge representation and reasoning

Natural language processing: Topics in natural language processing

Mathematics

Discrete mathematics: Graph theory

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