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
florida_seafood is a visualizable thing	1111	06-jul-2018	96.2
various_human_disorders is a physiological condition	1111	06-jul-2018	93.0
udon_noodles is a food	1111	06-jul-2018	98.4
anatoli_solovyov is an astronaut	1111	06-jul-2018	100.0
mayflower_street is a street	1111	06-jul-2018	100.0
cells is a subpart of the body within marrow	1111	06-jul-2018	100.0
art is an attraction that will be fall in city wood	1116	12-sep-2018	100.0
cisco is headquartered in the city san_jose	1116	12-sep-2018	100.0
baseball is a sport played in the venue great_american_ball_park	1116	12-sep-2018	100.0
usc hired lane_kiffin	1111	06-jul-2018	96.9