Information Extraction
Domain: NLP Fundamentals
🎯 Motivation
Pulling structured facts from unstructured text. NER, relation extraction, and event extraction.
📋 Concrete Example
From Apple was founded in 1976, extract: (Apple, founded, 1976). Turns text into a database.
🔗 Analogy
Like panning for gold - you sift through raw text to find the valuable structured nuggets.