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
bethel_road is a street	1111	06-jul-2018	100.0
north_berwyn_congregational_church is a religion	1111	06-jul-2018	100.0
caccamo is a city	1111	06-jul-2018	99.8
missouri_student_federal_credit_union is a credit union	1111	06-jul-2018	100.0
reply_commenting is software used by machine-learning scientists	1111	06-jul-2018	99.5
maryland_division is an organization also known as services	1112	24-jul-2018	93.8
wells_fargo is a bank that has john_stumpf as its CEO	1116	12-sep-2018	100.0
kiffin is a person who belongs to the organization usc	1111	06-jul-2018	98.4
the loosing score of n2002_stanley_cup was nonneginteger:n1	1116	12-sep-2018	100.0
kent is a person who graduated from the university state_university	1115	03-sep-2018	98.4