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
joey_votto is a Mexican person	1111	06-jul-2018	100.0
national_whistleblower_center is a political organization that is not part of the government	1111	06-jul-2018	92.2
jacobs_road is a street	1111	06-jul-2018	100.0
mexican_red_knee_tarantula is an arachnid	1112	24-jul-2018	100.0
abyssinian_house_snake is a reptile	1111	06-jul-2018	100.0
mohammed_khan died in the country pakistan	1116	12-sep-2018	100.0
indians is a sports team that plays the sport baseball	1116	12-sep-2018	100.0
komo_tv is a company that has an office in the city seattle	1112	24-jul-2018	99.9
steve001 is an athlete who injured his/her arms	1115	03-sep-2018	99.2
alec_baldwin is an actor that worked with the director woody_allen	1114	25-aug-2018	100.0