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
world_document is a building	1111	06-jul-2018	96.5
joanna_tuczynska is a fashion model	1111	06-jul-2018	100.0
n_butylglycidyl_ether is a chemical	1111	06-jul-2018	100.0
banking_offshore_banking is an economic sector	1111	06-jul-2018	100.0
cuautla is a city	1111	06-jul-2018	99.8
st__pete_times_forum is the home venue for the sports team tampa_bay_lightning	1116	12-sep-2018	100.0
cunnamulla is a city that lies on the river warrego	1112	24-jul-2018	93.8
colombia is a country located in the geopolitical location south_america	1111	06-jul-2018	100.0
zsl_london_zoo is a zoo in the city central_london	1116	12-sep-2018	100.0
columbia is a mountain in the state or province british_columbia	1116	12-sep-2018	100.0