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
plane_lands can be a part of a landscape	1111	06-jul-2018	98.5
tattinger_champagne is a wine	1111	06-jul-2018	99.9
radisson_hotel_mt is a hotel	1111	06-jul-2018	97.6
battle_of_st_pol_de_leon is a military conflict	1111	06-jul-2018	100.0
gale_creek is a river	1111	06-jul-2018	100.0
beds is often found in site	1116	12-sep-2018	100.0
baseball is a sport taught in the country india	1115	03-sep-2018	100.0
joel_coen starred in the movie fargo	1114	25-aug-2018	99.6
newyork_presbyterian_hospital is a hospital in the city new_york	1116	12-sep-2018	100.0
kmcb is a TV affiliate of the network nbc_news	1116	12-sep-2018	99.2