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
ppg___associates_federal_credit_union is a credit union	1111	06-jul-2018	100.0
richard_wood is a visual artist	1111	06-jul-2018	100.0
nearby_dining_room is a kind of room	1111	06-jul-2018	99.3
hair_beautifier_oil is a personal care product	1111	06-jul-2018	99.4
n2007_sping_election is an election	1111	06-jul-2018	94.7
rupert_murdoch is a top member of fox_business	1116	12-sep-2018	100.0
abraham and lot are siblings	1112	24-jul-2018	93.8
pudding can cause cancer	1115	03-sep-2018	100.0
braylon_edwards and end_kellen_winslow are teammates	1111	06-jul-2018	93.8
woodland_park_zoo is a zoo in the city seattle	1116	12-sep-2018	100.0