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
esc_nro__815_pedro_juan_caballero is a South American person	1111	06-jul-2018	92.8
power_boating_magazines is a kind of media	1111	06-jul-2018	99.0
neurovascular_disorders is a physiological condition	1111	06-jul-2018	92.1
blanket_racks is a household item	1111	06-jul-2018	100.0
gummi_bear is a kind of candy	1111	06-jul-2018	99.2
theresa has spouse mark	1116	12-sep-2018	93.8
jenny_mccarthy is related to jenny_mccarthy	1116	12-sep-2018	100.0
ca is a sate or province located in the country usa	1116	12-sep-2018	100.0
kelvin_sampson is related to english	1116	12-sep-2018	100.0
management is found in valley	1115	03-sep-2018	99.2