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
pumpkin_cubes is a visualizable thing	1111	06-jul-2018	96.3
a_nonini_winery is a winery	1111	06-jul-2018	100.0
new_comment_click is software used by machine-learning scientists	1112	24-jul-2018	99.6
gravenhage is a visualizable scene	1111	06-jul-2018	99.6
n1984_emergency_election is an election	1111	06-jul-2018	93.9
the home stadium of jamal_mayers is wrigley_field	1116	12-sep-2018	100.0
georgetown is a city located in the state or province kentucky	1116	12-sep-2018	96.9
shanghai_museum is a museum in the city shanghai	1116	12-sep-2018	100.0
president_jimmy_carter is a politician who holds the office of u_s__secretary	1115	03-sep-2018	100.0
jack_london was born in san_francisco	1116	12-sep-2018	100.0