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
blackish_deer_mouse is a mammal	1111	06-jul-2018	100.0
em_poker_privacy is a non-sports, non-electronic game	1111	06-jul-2018	92.9
n14_39 is a term used by physicists	1111	06-jul-2018	100.0
john_gibb is a chef	1111	06-jul-2018	100.0
new_mexico_territory is a geopolitical entity that is an organization	1111	06-jul-2018	94.5
lancome is headquartered in the country france_france	1116	12-sep-2018	100.0
steve001 is a person who belongs to the organization future	1112	24-jul-2018	99.9
hotel_victoria is a hotel in the city toronto	1116	12-sep-2018	100.0
franklin_roosevelt represents the region state001	1116	12-sep-2018	100.0
bed is often found in private_living_room	1111	06-jul-2018	96.9