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
_68__69 is a date	1111	06-jul-2018	100.0
east_finchley_cemetery is a place of worship	1111	06-jul-2018	99.9
rights_commision is a socio-political term	1111	06-jul-2018	95.1
world_medicine is a publication	1111	06-jul-2018	91.4
microwave_safe_cup is an item found in the kitchen	1111	06-jul-2018	100.0
palazzo_hotel is a building located in the city las_vegas	1116	12-sep-2018	98.4
commonwealth_countries is a generalization of canada	1116	12-sep-2018	93.8
the companies newark_star_ledger and los_angeles compete with eachother	1111	06-jul-2018	93.8
national is a bank in kenya	1114	25-aug-2018	100.0
satan is the parent of eden	1114	25-aug-2018	100.0