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
attic_dialect is a language	1111	06-jul-2018	99.5
creative_valentine is a European person	1111	06-jul-2018	100.0
star_newspapers is a newspaper	1111	06-jul-2018	99.9
mercedes_s_class_engines is a kind of automobile engine	1111	06-jul-2018	100.0
plantar_cuneocuboid_ligament is a vein	1111	06-jul-2018	99.2
european_nations is a generalization of austria	1115	03-sep-2018	99.6
yanks is a sports team that won the world_series	1115	03-sep-2018	100.0
floor a muscle located in bodypart face	1116	12-sep-2018	93.8
kbmt_tv is a TV affiliate of the network abc_news	1116	12-sep-2018	100.0
football_players is a generalization of brad_childress	1116	12-sep-2018	100.0