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
brooklyn_law_school is a school	1112	24-jul-2018	96.2
students_rights is a socio-political term	1111	06-jul-2018	99.7
environment_committee is a professional organization	1111	06-jul-2018	100.0
sub_sections is a legislative bill	1111	06-jul-2018	100.0
seo_optimization is a scientific term	1111	06-jul-2018	100.0
port_columbus_international_airport is an airport in the city columbus	1116	12-sep-2018	100.0
derrick_turnbow is an athlete who wins nextel_cup	1116	12-sep-2018	100.0
suspects participated in the event offenses	1111	06-jul-2018	96.9
usa is related to san_diego_padres	1115	03-sep-2018	100.0
blade is a newspaper in the city toledo	1116	12-sep-2018	99.8