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
international_stores is a retail store	1111	06-jul-2018	99.8
rapids_water_park is a park	1111	06-jul-2018	92.9
aluminum_clad_doors is something found in or on buildings	1111	06-jul-2018	98.2
falls_shopping_center is a shopping mall	1111	06-jul-2018	100.0
revolvers is a weapon	1111	06-jul-2018	97.2
states is a state or province located in the geopolitical location san_francisco	1112	24-jul-2018	99.8
lockheed_martin_corp is a bank that has robert_stevens as its CEO	1116	12-sep-2018	100.0
oxford is a city that lies on the river cherwell	1111	06-jul-2018	93.8
mahalaleel_eight_hundred and cainan are family members	1113	15-aug-2018	98.4
williams and kevin_love are teammates	1111	06-jul-2018	93.8