Lecture

Entity & Information Extraction

Description

This lecture covers the process of information extraction, including hand-written patterns, supervised learning, bootstrapping, and distant supervision. It explores the use of classifiers, features, syntactic analysis, and matrix representation in extracting entities and relationships from text.

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