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
utenti_privati is a wine	1111	06-jul-2018	99.6
exterior_french_door is something found in or on buildings	1111	06-jul-2018	98.6
onychognathiidae is a mollusk	1111	06-jul-2018	100.0
last_40_years is a sports game	1111	06-jul-2018	99.8
assurance_professionals is a profession	1111	06-jul-2018	99.9
basketball is a sport played in the venue palace_of_auburn_hills	1115	03-sep-2018	100.0
president_bill_clinton is a U.S. politician who is a member of the political group congress	1116	12-sep-2018	96.9
humira is a drug worked on by abbot_laboratories	1114	25-aug-2018	99.6
steve001 works for world	1112	24-jul-2018	100.0
george was born in the city glasgow	1116	12-sep-2018	99.6