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
cecil_road is a street	1111	06-jul-2018	100.0
su_competencia is a currency	1111	06-jul-2018	99.8
cars__trucks is a kind of vehicle	1111	06-jul-2018	99.6
porcine_oocytes is a type of biological cell	1111	06-jul-2018	96.9
manuel_rengifo is a South American person	1111	06-jul-2018	93.5
larry_lucchino is a top member of red_sox	1116	12-sep-2018	99.6
nick_cave is a musician who is part of bad_seeds	1115	03-sep-2018	93.8
carlos_lee is a U.S. politician who holds the office of president	1116	12-sep-2018	100.0
green_park is a park in the city central_london	1116	12-sep-2018	100.0
rafael_furcal is an athlete who led cardinals_27_23	1116	12-sep-2018	93.8