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
generous_dining_room is a kind of room	1111	06-jul-2018	99.5
coopers_cave_federal_credit_union is a credit union	1111	06-jul-2018	100.0
magazine_photographer is form of visual art	1111	06-jul-2018	99.2
flamingo_clock is an item found on a wall	1111	06-jul-2018	99.4
grad_students is a victim	1111	06-jul-2018	100.0
xom_ is a company also known as exxon	1114	25-aug-2018	100.0
southern_appalachian is a mountain in the state or province tennessee	1116	12-sep-2018	99.9
greg_norman_and_ted_robinson is an athlete who wins australian_open	1114	25-aug-2018	100.0
security concerns information	1116	12-sep-2018	99.2
tyco_healthcare is headquartered in the state or province massachusetts	1116	12-sep-2018	100.0