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Related lectures (32)
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Semantic Web & Information Extraction
Explores Semantic Web, ontologies, information extraction, key phrases, named entities, and knowledge bases.
Information Extraction: Methods and Applications
Explores methods for information extraction, including traditional and embedding-based approaches, supervised learning, distant supervision, and taxonomy induction.
Information Extraction: Algorithms and Techniques
Explores algorithms and techniques for information extraction, including Viterbi algorithm, named entities recognition, and distant supervision.
Entity & Information Extraction
Explores knowledge extraction from text, covering key concepts like keyphrase extraction and named entity recognition.
Embedding Models: Concepts and Retrieval
Covers embedding models for document retrieval, latent semantic indexing, SVD, and topic models.
Knowledge Modeling: Introduction
Explores manual creation of knowledge bases and challenges in knowledge extraction from text.
Named Entity Recognition: Applications and Techniques
Explores Named Entity Recognition, its uses, techniques, and applications in information extraction.
Information Extraction & Knowledge Inference
Explores information extraction, knowledge inference, taxonomy induction, and entity disambiguation.
Text Understanding
Explores Text Understanding, focusing on Named Entities, Information Extraction, and Machine Reading methods.
Matrix Factorization: Linking Text to Knowledge Bases
Explores distant supervision for linking text to knowledge bases using entity extraction and classifiers.