IS 725 - Information Extraction

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Information extraction (IE) is the problem of distilling structured information from text. Example Information Extraction tasks range from finding mentions of Named Entities such as people and places or relationships between entities, finding opinions about products to deep semantic understanding of a sentence. Information Extraction has emerged as an essential building block for applications that leverage information from text, including social media analytics, healthcare analytics, financial risk analysis, semantic search, regulatory compliance, legal discovery and many others.

The course will provide an overview of IE techniques developed in the past 20 years and discuss their advantages and limitations. Especially, we focus on two types IE paradigms: (1) rule-based Information Extraction and (2) machine learning-based Information Extraction.
Course ID: 102662
Components: Lecture
Grading Method: Regular