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
philippians_2_15_16 is an ethnic group	1111	06-jul-2018	97.3
poker_muck is a cardgame	1111	06-jul-2018	91.6
all_s_well_that_ends_well is a book	1111	06-jul-2018	100.0
brownville is a visualizable scene	1111	06-jul-2018	100.0
deepwater_squirrelfish is an invertebrate	1111	06-jul-2018	100.0
edward_johnson is a politician who holds the office of president	1114	25-aug-2018	100.0
house hired state	1111	06-jul-2018	99.6
national is a bank that bought reliance	1114	25-aug-2018	100.0
ali has husband bono	1116	12-sep-2018	100.0
hot_water is often found in bathrooms	1111	06-jul-2018	93.8