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Explore fundamental approaches to extracting meaningful knowledge and insights from textual data in this comprehensive lecture that covers key methodologies, algorithms, and techniques used in computational linguistics and natural language processing for automated knowledge discovery, including pattern recognition, information extraction, and text mining strategies essential for understanding how machines can interpret and derive structured knowledge from unstructured text sources.
Syllabus
Dekang Lin: Knowledge Discovery From Text
Taught by
Center for Language & Speech Processing(CLSP), JHU