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
health_law is a political issue	1111	06-jul-2018	99.9
church_of_the_living_god_temple_93 is a religion	1111	06-jul-2018	100.0
bayberry_road is a street	1111	06-jul-2018	100.0
androgen_deprivation_therapy is a medical procedure	1111	06-jul-2018	100.0
rubber_tree_plants is a plant	1111	06-jul-2018	99.4
spagnuolo works for saint_louis	1111	06-jul-2018	99.2
calibrating_the_world_s_photos_with_a_massive_3d_database occurrs at the date april_15__2013	1116	12-sep-2018	100.0
quentin_tarantino directed the movie death_proof	1115	03-sep-2018	99.3
rob_ford is the leader of the city toronto	1116	12-sep-2018	100.0
the country sri_lanka uses the currency rupees	1116	12-sep-2018	100.0