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
n1_2_cup_cheese is a cheese	1111	06-jul-2018	95.2
baptist_town is a county	1111	06-jul-2018	100.0
juan_beniquez is an athlete	1111	06-jul-2018	100.0
cerebellar_corpus is a kind of brain tissue	1111	06-jul-2018	96.4
hitler_s_troops is an ethnic group	1111	06-jul-2018	91.5
royal_canadian_air_force is an organization known by the acronym rcaf	1112	24-jul-2018	93.8
heathrow is an attraction that will be fall in city central_london	1116	12-sep-2018	100.0
beds is often found in style_room	1111	06-jul-2018	99.9
felipe_lopez plays the sport baseball	1116	12-sep-2018	98.8
mr_bush is a politician who holds the office of president	1115	03-sep-2018	100.0