Efficient Auto-Generation of Taxonomies for Structured Knowledge Discovery and Organization

This tutorial introduces the audience to the latest breakthroughs in the area of interpreting unstructured content through an analysis of the key enabling scientific results along with their real-world applications. With technical presentations of problems like named-entity disambiguation and dynamically updating the knowledge hierarchy with domain-specific vocabulary, it would provide the fundamentals to the building-blocks of various applications in Artificial Intelligence, Natural Language Processing, Machine Learning, and Data Mining.