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
spanish_orange is a color	1111	06-jul-2018	99.7
galloway_creek is a river	1111	06-jul-2018	100.0
alexander_arotin is a monarch	1111	06-jul-2018	98.5
jehovahs_witnesses_central_spanish_congregation is a religion	1111	06-jul-2018	100.0
robert_robertson is a U.S. politician	1111	06-jul-2018	99.9
national is a bank that bought fidelity	1114	25-aug-2018	100.0
kresge_theatre is a room in the building college_of_fine_arts	1116	12-sep-2018	100.0
berlin_museum is a museum in the city berlin	1116	12-sep-2018	100.0
ingram_micro is headquartered in the state or province california	1116	12-sep-2018	100.0
jo_jo_reyes plays the sport baseball	1116	12-sep-2018	99.9