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
dearborn_hotels is a park	1111	06-jul-2018	90.4
party_democrats is a political party	1112	24-jul-2018	93.3
bookcase_doors is an item often found in a hallway	1111	06-jul-2018	100.0
many_weeks is a sports game	1111	06-jul-2018	99.8
selling_power_magazine is a company	1111	06-jul-2018	100.0
u_s__justice_department is headquartered in the country u_s_	1116	12-sep-2018	100.0
rod_laver is an athlete who wins wimbledon	1114	25-aug-2018	100.0
peking_duck_house_restaurant is a restaurant in the city los_angeles_ca	1116	12-sep-2018	100.0
n1212 is a room in the building doherty_hall	1116	12-sep-2018	100.0
palace is a stadium or event venue located in the city las_vegas	1116	12-sep-2018	100.0