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
little_league_field is a stadium or event venue	1111	06-jul-2018	100.0
tom_houser is a journalist	1111	06-jul-2018	97.8
oshkosh_airport is a transportation system	1111	06-jul-2018	100.0
redeye_wrasse is a fish	1111	06-jul-2018	100.0
harrison_road is a street	1111	06-jul-2018	100.0
eurostar_train is a transportation system located in the city central_london	1116	12-sep-2018	99.8
larvae is an animal that eats seeds	1115	03-sep-2018	100.0
roberts graduated from college	1114	25-aug-2018	100.0
the country saint_helena uses the currency pounds	1116	12-sep-2018	100.0
randy_moss coaches the team new_england_patriots	1116	12-sep-2018	96.9