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
hetjens_museum is a museum	1111	06-jul-2018	100.0
burliegh_road is a street	1111	06-jul-2018	100.0
clifton_wisconsin is a beach	1111	06-jul-2018	91.7
corticosteroid_injection is a medical procedure	1111	06-jul-2018	100.0
recipe_lima_beans is a recipe	1111	06-jul-2018	99.6
chrysler is a specific automobile maker dealer in usa	1114	25-aug-2018	100.0
optimizing_password_composition_policies occurrs in the room n8102	1116	12-sep-2018	100.0
charles001 is a person who moved to the state california	1115	03-sep-2018	100.0
bed is often found in northeast_bedroom	1116	12-sep-2018	93.8
national is a company that has an office in the country italy	1114	25-aug-2018	100.0