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
magill_street is a street	1111	06-jul-2018	100.0
calorie_source is a refinery product	1113	15-aug-2018	90.7
french_park is a stadium or event venue	1111	06-jul-2018	100.0
stretched_at_your_grave is a musical album	1111	06-jul-2018	100.0
grassy_sound_channel_bridge is a bridge	1111	06-jul-2018	96.7
dodge is a specific automobile maker dealer in arizona	1115	03-sep-2018	100.0
hirshhorn is a museum in the city washington_d_c_	1116	12-sep-2018	100.0
dionne_warwick was born in the state or province new_jersey	1116	12-sep-2018	100.0
florida is a state that is bordered by the state wisconsin	1114	25-aug-2018	98.4
cleveland_hopkins is an airport in the city cleveland	1116	12-sep-2018	100.0