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
david_llewellyn is an author in the scientific field of machine learning	1111	06-jul-2018	100.0
republican_supreme_court is a part of the government	1111	06-jul-2018	95.5
intramyocardial_arteries is an artery	1111	06-jul-2018	99.6
stone_and_allied_products_workers_of_america is a trade union	1111	06-jul-2018	91.0
john_hobson is a politician	1111	06-jul-2018	100.0
bill_tierney coaches the team princeton	1116	12-sep-2018	99.6
public is an organization dissolved at the date april	1113	15-aug-2018	96.9
nbc10 is a TV station in the city philadelphia	1116	12-sep-2018	100.0
miami is the home city of the sports team drury_panthers	1116	12-sep-2018	100.0
crustaceans is a type of invertebrates	1114	25-aug-2018	100.0