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
center_autoresponder is a sports team position	1111	06-jul-2018	99.3
william_robson is a fashion model	1111	06-jul-2018	98.1
hard_marble_floor is an item often found in a hallway	1111	06-jul-2018	99.9
long_term_sub is a job position	1111	06-jul-2018	94.8
american_coptic_association is a non-profit organization	1111	06-jul-2018	99.7
calibrating_the_world_s_photos_with_a_massive_3d_database occurrs at the date april_15__2013	1116	12-sep-2018	100.0
alexander is a person who graduated from the university college	1112	24-jul-2018	100.0
expensive_suit is a clothing item to go with hat	1111	06-jul-2018	93.8
kwgs is a radio station in the city tulsa	1116	12-sep-2018	96.9
marion_jones has spouse montgomery	1116	12-sep-2018	93.8