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
three_farmers is a farm	1111	06-jul-2018	99.9
los_angeles_metropolitan_medical_ctr is a hospital	1111	06-jul-2018	100.0
guadeloupe_food is a food	1111	06-jul-2018	98.3
cannabis_offenses ia a crime or charge	1111	06-jul-2018	90.5
healthy_food_magazines is a kind of media	1111	06-jul-2018	99.1
suspects participated in the event offenses	1111	06-jul-2018	96.9
admiralty_arch is a tourist attraction in the city central_london	1116	12-sep-2018	100.0
charles_ii has brother james	1116	12-sep-2018	100.0
nissan makes the automobile sentra	1114	25-aug-2018	100.0
arms is a type of weapon produced in yugoslav_federation	1111	06-jul-2018	99.2