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
air_force is an organization	1111	06-jul-2018	100.0
n43103 is a ZIP code	1111	06-jul-2018	99.8
george_englund is a male	1111	06-jul-2018	95.2
milk_stout is a beverage	1111	06-jul-2018	93.5
esc__del_barrio_santa_lucia is a South American person	1111	06-jul-2018	94.0
starbucks_coffee_company serves cappuccino	1114	25-aug-2018	100.0
gregg_steinhafel is a top member of target_corp	1116	12-sep-2018	96.9
moses has brother aaron	1116	12-sep-2018	100.0
lastings_milledge is an athlete that flied out to position center	1111	06-jul-2018	100.0
kabc is a radio station in the city los_angeles_ca	1116	12-sep-2018	100.0