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
karen_shook is a professor	1111	06-jul-2018	91.2
michael_barrett is a U.S. politician	1111	06-jul-2018	100.0
n1978___1994 is a year	1111	06-jul-2018	100.0
gravity_hills is a mountain range	1111	06-jul-2018	99.9
table_a_9 is an item often found in a bedroom	1111	06-jul-2018	99.9
professional_sports is a sport with fans in the country __america	1116	12-sep-2018	100.0
ins is headquartered in the country u_s_	1116	12-sep-2018	99.2
suns is a sports team that plays against raptors	1111	06-jul-2018	99.6
jonglei is a state or province located in the geopolitical location sudan	1115	03-sep-2018	98.4
hamilton is a city that lies on the river great_miami	1112	24-jul-2018	100.0