Standard 1 stop to get here

Information Extraction

Automatically extracting structured information from unstructured text.

Your route here

1 stop · basics first
  1. Natural Language Processing ✓ understood

    The field of AI that lets computers read, interpret, translate and generate human language, from spam filters and search to chatbots.

  2. Information Extraction · you are here ✓ understood

Automatically extracting structured information from unstructured text.

This concept is essential for understanding natural language processing and forms a key part of modern AI systems.

  • NLP
  • Named Entity Recognition
  • Relation Extraction

Where it sits

Before this

Natural Language Processing
Information Extraction

Leads to

Nothing yet: a destination in its own right.

Explore nearby

Language & LLMs Named Entity Recognition Identifying and classifying named entities (people, organizations, locations) in text into predefined categories. Language & LLMs Relation Extraction Identifying semantic relationships between entities in text. Language & LLMs Entity Linking Linking entity mentions in text to entries in a knowledge base. Language & LLMs Slot Filling Extracting specific pieces of information (slots) needed to fulfill a user's intent. Foundations Knowledge Graph A structured representation of knowledge as entities and their relationships, used for reasoning and information retrieval.