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
daily_express is a transportation system	1111	06-jul-2018	100.0
expensive_valentine is a visualizable scene	1111	06-jul-2018	99.4
latin_american_art is a visual art movement	1112	24-jul-2018	90.7
lucien_labaudt is a visual artist	1111	06-jul-2018	92.9
zino_davidoff ia a celebrity	1111	06-jul-2018	90.7
lifetime is taller than events	1116	12-sep-2018	98.4
carnegie_hall__s_zankel_hall is a stadium or event venue located in the city new_york	1116	12-sep-2018	96.9
daniel_descalso is an athlete who led cardinals_27_23	1116	12-sep-2018	93.8
bush_administration has been charged with war_crimes	1115	03-sep-2018	99.2
hot_water is often found in cabins	1111	06-jul-2018	96.9