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
corn_soybean_meal is a grain	1112	24-jul-2018	95.4
marcella_bean is a legume	1111	06-jul-2018	98.0
toronto_offering is a geopolitical entity that is an organization	1111	06-jul-2018	94.5
kingston_stadium is a stadium or event venue	1111	06-jul-2018	100.0
minority_hungarians is an ethnic group	1111	06-jul-2018	94.6
stove is often found in kitchenette	1111	06-jul-2018	99.6
alexander_ovechkin is an athlete coached by bruce_boudreau	1116	12-sep-2018	100.0
john_kerry is a person also known as john_f___kerry	1111	06-jul-2018	100.0
clash is a musician in the genre uk_punk	1111	06-jul-2018	100.0
max_pacioretty and d_agostini are teammates	1111	06-jul-2018	93.8