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Related lectures (32)
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Text Understanding
Explores Text Understanding, focusing on Named Entities, Information Extraction, and Machine Reading methods.
Entity & Information Extraction
Explores information extraction using classifiers, features, and syntactic analysis.
Semantic Web Resources
Explores popular ontologies and knowledge bases like WordNet, WikiData, Google Knowledge Graph, and Schema.org, as well as Linked Open Data sets.
Neuroinformatics: Ontologies
Explores the role of ontologies in neuroscience, focusing on organizing data and defining entity properties.
Knowledge Representation: Semantics and Data Structures
Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.
Expert Systems: Backward Chaining
Explores expert systems, backward chaining, and uncertainty through fuzzy logic in practical applications.
Neuro-symbolic Representations: Commonsense Knowledge & Reasoning
Explores neuro-symbolic representations for understanding commonsense knowledge and reasoning, emphasizing the challenges and limitations of deep learning in natural language processing.
Semantic Web: Ontologies and RDF Modeling
Covers the creation and encoding of ontologies, modeling RDF statements, syntax, and classification.
Modeling Pertrochanteric Fractures
Discusses modeling pertrochanteric fractures to support therapeutic choices through numerical simulations and advance medical knowledge.
Matrix Factorization: Information Extraction
Explores matrix factorization for information extraction, Bayesian ranking, and relation embeddings.
