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
herald_tribune is a blog	1111	06-jul-2018	100.0
pint_glass is an item found in the kitchen	1111	06-jul-2018	99.7
john_o_keefe is a politician	1111	06-jul-2018	100.0
urban_soul_recordings is a record label	1111	06-jul-2018	98.9
radolfzell is a city	1111	06-jul-2018	99.8
christian has citizenship in the country denmark	1112	24-jul-2018	100.0
tom_barrett is the leader of the city downtown_milwaukee	1116	12-sep-2018	100.0
n10_minutes has color brown	1111	06-jul-2018	98.4
page_hamilton is a musician who is part of helmet	1116	12-sep-2018	100.0
brain_maps_to_mechanisms__neural_circuit_molecular_architecture occurrs in the building biomedical_science_tower	1116	12-sep-2018	100.0