Lecture
Information Extraction & Knowledge Inference
Related lectures (43)
Knowledge Inference
Explores knowledge inference, embedding techniques, and schema matching in data integration.
Matrix Factorization: Linking Text to Knowledge Bases
Explores distant supervision for linking text to knowledge bases using entity extraction and classifiers.
Linear Regression: Statistical Inference Perspective
Explores linear regression from a statistical inference perspective, covering probabilistic models, ground truth, labels, and maximum likelihood estimators.
Text Understanding
Explores Text Understanding, focusing on Named Entities, Information Extraction, and Machine Reading methods.
Taxonomy Induction: Learning Concepts and Relationships
Explores taxonomy induction, learning relationships and concepts from documents.
Knowledge Modeling: Introduction
Explores manual creation of knowledge bases and challenges in knowledge extraction from text.
Knowledge Representation: Semantics and Data Structures
Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.
Understanding Chaos in Quantum Field Theories
Explores chaos in quantum field theories, focusing on conformal symmetry, OPE coefficients, and random matrix universality.
Semantic Web: Exercise Solutions
Explains exercise solutions on the semantic web using dictionaries and inference rules.
Projects Presentation & Logistics
Covers the presentation of 4 projects in the course and related logistics.