Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
henry_de_la_beche is a scientist	1111	06-jul-2018	99.9
loras_college is a university	1111	06-jul-2018	100.0
owner_features is a job position	1111	06-jul-2018	95.0
state_committee_for_scientific_research is a part of the government	1111	06-jul-2018	100.0
adaptive_signal_processing is a physical action	1111	06-jul-2018	94.2
arms is a type of weapon produced in china	1111	06-jul-2018	100.0
amy_winehouse is a musician in the genre soul	1113	15-aug-2018	96.9
national is a bank in ireland	1114	25-aug-2018	100.0
texas_instruments_incorporated is a company also known as ti	1113	15-aug-2018	93.8
james_madison is a politician who holds the office of secretary	1115	03-sep-2018	99.9