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
little_rock_creek is a mountain range	1111	06-jul-2018	99.8
n69_62_loss is an event outcome	1111	06-jul-2018	99.9
ngangela is an ethnic group	1111	06-jul-2018	95.2
one_show is a TV show	1111	06-jul-2018	99.9
matsumoto_jun is a commedian	1111	06-jul-2018	90.3
al_reyes is an athlete also known as joel_guzman	1115	03-sep-2018	100.0
riverside is a city that lies on the river des_plaines	1111	06-jul-2018	96.9
baseball is a sport played in the venue wrigley_field	1116	12-sep-2018	100.0
washington_dulles is an airport in the city washington_d_c_	1116	12-sep-2018	100.0
william_verity is a person born on the date n1917	1116	12-sep-2018	100.0