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
e_magazine is a newspaper	1111	06-jul-2018	100.0
enormous_ripple_effect is an event outcome	1111	06-jul-2018	92.7
gmc_savanna is a kind of vehicle	1111	06-jul-2018	99.7
professional_airline_flight_control_association is a trade union	1112	24-jul-2018	91.7
infectious_viral_disease is a virus	1111	06-jul-2018	99.9
chevrolet is a company that produces ford_taurus	1114	25-aug-2018	93.8
virginian_pilot is a newspaper in the city norfolk	1116	12-sep-2018	99.9
the companies herald and chicago001 compete with eachother	1111	06-jul-2018	100.0
president_elect_obama is a U.S. politician endorsed by the U.S. politician biden	1112	24-jul-2018	100.0
new_york_times is a company that has an office in the city los_angeles_ca	1111	06-jul-2018	98.4