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
veronica_hamel is a male	1111	06-jul-2018	90.3
jay_barnett is american	1111	06-jul-2018	91.3
rentalhomesplus is a website	1111	06-jul-2018	92.5
n20_50 is a year	1111	06-jul-2018	100.0
mexican_red_knee_tarantula is an arachnid	1112	24-jul-2018	100.0
favre plays the athletic team position player	1113	15-aug-2018	99.7
lord_jesus is a person who died at the age of 16	1116	12-sep-2018	96.9
cycling is a sport with fans in the country __america	1116	12-sep-2018	100.0
movie_actors is a generalization of meryl_streep	1115	03-sep-2018	100.0
hyundai is a specific automobile maker dealer in _uk	1116	12-sep-2018	100.0