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
joseph_conrad is a musician	1111	06-jul-2018	100.0
sofa_mat is an item found on the floor	1111	06-jul-2018	99.3
new_south_wales_workers is a trade union	1111	06-jul-2018	93.4
iskandariyah is a geopolitical entity that is an organization	1111	06-jul-2018	94.5
cynthia_cole is an actor	1111	06-jul-2018	90.9
frank_williams is a top member of williams_jeep	1116	12-sep-2018	93.8
the sports leage nba uses the venue us_airways_center	1114	25-aug-2018	100.0
vertebral_artery arises from subclavian_artery	1116	12-sep-2018	100.0
triangle has shape circumcircle	1112	24-jul-2018	93.8
baseball is a sport taught in the country __america	1116	12-sep-2018	100.0