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Lecture
Entity Disambiguation
Graph Chatbot
Related lectures (32)
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Entity & Information Extraction
Explores knowledge extraction from text, covering key concepts like keyphrase extraction and named entity recognition.
Information Extraction & Knowledge Inference
Explores information extraction, knowledge inference, taxonomy induction, and entity disambiguation.
Information Extraction: Methods and Applications
Explores methods for information extraction, including traditional and embedding-based approaches, supervised learning, distant supervision, and taxonomy induction.
Semantic Web & Information Extraction
Explores Semantic Web, ontologies, information extraction, key phrases, named entities, and knowledge bases.
Knowledge Inference: Entity Disambiguation and Graph Embeddings
Explores entity disambiguation, graph embeddings, scoring functions, and learning methods.
Entity Disambiguation and Link Prediction
Explores entity disambiguation, linking text to knowledge bases, and link prediction in knowledge graphs with examples from Wikipedia.
Named Entity Recognition: Applications and Techniques
Explores Named Entity Recognition, its uses, techniques, and applications in information extraction.
Entity Disambiguation
Explores Entity Disambiguation, linking text mentions to a knowledge base, coherence in entity graphs, and Personalized PageRank.
Information Extraction: Algorithms and Techniques
Explores algorithms and techniques for information extraction, including Viterbi algorithm, named entities recognition, and distant supervision.
Text Understanding
Explores Text Understanding, focusing on Named Entities, Information Extraction, and Machine Reading methods.
