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
asthmatic_exacerbations is a physiological condition	1111	06-jul-2018	90.7
belorussian is a language	1111	06-jul-2018	99.6
plant_seedlings is a plant	1111	06-jul-2018	100.0
john_fenn is a politician	1111	06-jul-2018	100.0
international_pharmaceutical_society is a non-profit organization	1111	06-jul-2018	99.9
british_council is a museum in the city delhi	1116	12-sep-2018	100.0
andy_green died in the location new_south_wales	1116	12-sep-2018	100.0
white_sox is headquartered in the state or province new_york	1116	12-sep-2018	100.0
chucks is a clothing item to go with tops	1111	06-jul-2018	93.8
palazzo_hotel is a building located in the city las_vegas	1116	12-sep-2018	98.4