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
cala_d_or is a visualizable scene	1111	06-jul-2018	99.6
benzene_p_dicarboxylic_acid is a chemical	1111	06-jul-2018	100.0
district_4_commissioner is a kind of office held by a politician	1111	06-jul-2018	100.0
spondilitis is a disease	1111	06-jul-2018	100.0
global_equity_organization is an organization	1112	24-jul-2018	99.5
cells is a subpart of the body within tumor	1111	06-jul-2018	99.6
amani_toomer plays for the team eventual_super_bowl_champion_new_york_giants	1116	12-sep-2018	100.0
george_allen coaches in the league nfl	1116	12-sep-2018	100.0
european_nations is a generalization of poland	1115	03-sep-2018	96.9
dallas_fort_worth_international_airport is an attraction that will be fall in city dallas	1116	12-sep-2018	96.9