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
newer_cabinets is a household item	1111	06-jul-2018	94.8
orange_ladybird is an arthropod	1111	06-jul-2018	97.9
battle_of_kaiserslautern is a military conflict	1111	06-jul-2018	100.0
milford_audi is an automobile manufacturer	1111	06-jul-2018	99.7
mount_batanta is a mountain	1111	06-jul-2018	100.0
o_hare is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
andre_reed plays the athletic team position wide_receiver	1113	15-aug-2018	100.0
the_national is a company that has an office in the country china	1111	06-jul-2018	100.0
gaza is the capital city of the country palestine	1116	12-sep-2018	100.0
michael_hancock is the leader of the city denver	1116	12-sep-2018	100.0