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
john_carver is a criminal	1111	06-jul-2018	100.0
aquarium_supply_s is a retail store	1111	06-jul-2018	99.5
juanita_bellavance is a Mexican person	1111	06-jul-2018	94.9
westside_hospital is a hospital	1111	06-jul-2018	92.8
manuel_rivas is a South American person	1111	06-jul-2018	98.6
darryl_sutter coaches the team calgary_flames	1116	12-sep-2018	96.9
dwight_howard is an athlete who led magic	1116	12-sep-2018	100.0
forbes_galleries is a museum in the city new_york	1116	12-sep-2018	100.0
anne_perry contributed to the creative work a_breach_of_promise	1111	06-jul-2018	96.9
dan_quayle is a U.S. politician endorsed by the U.S. politician clinton	1112	24-jul-2018	98.4