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
tucson_federal_credit_union is a bank	1111	06-jul-2018	100.0
medium_sized_banana is a fruit	1112	24-jul-2018	93.7
tour_de_seoul is a sports race	1111	06-jul-2018	100.0
two_male_strippers is a parlour game	1111	06-jul-2018	90.1
system_estimate is a video game system	1111	06-jul-2018	98.9
communities is a generalization of member	1114	25-aug-2018	99.8
east_ham_baptist_church is a place of worship that practices the religion of baptist	1116	12-sep-2018	100.0
dave_navarro is a musician who plays the guitar	1115	03-sep-2018	93.8
varitek and orlando_cabrera are teammates	1112	24-jul-2018	93.8
boy_scout_road is a street in the city augusta	1116	12-sep-2018	100.0