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
_23_00 is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
movie_illegal_tender is a movie	1111	06-jul-2018	100.0
justice_jobs is a judge	1111	06-jul-2018	96.7
two_total_hours is a parlour game	1111	06-jul-2018	100.0
jewish_herald_voice is a newspaper	1111	06-jul-2018	100.0
mccain is a U.S. politician endorsed by the U.S. politician bob_barr	1112	24-jul-2018	98.4
marcus_amphitheatre is a tourist attraction in the city downtown_milwaukee	1116	12-sep-2018	100.0
paul001 graduated from institute	1114	25-aug-2018	99.6
evgeny_artyukhin is an athlete that flied out to position center	1111	06-jul-2018	100.0
cosmopolitan_hotel is a hotel in the city toronto	1116	12-sep-2018	100.0