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
narrow_footed_worm_salamander is an amphibian	1111	06-jul-2018	100.0
rabbit_ridge_vineyards is a winery	1111	06-jul-2018	100.0
contact_air is a website	1111	06-jul-2018	100.0
pumpkin_latte is a beverage	1111	06-jul-2018	92.3
water_skiing_and_wakeboarding is a sport	1111	06-jul-2018	100.0
anne_perry wrote the book funeral_in_blue	1111	06-jul-2018	100.0
connie is a person who has attended the school college	1114	25-aug-2018	96.9
trafalgar_square is a park in the city central_london	1116	12-sep-2018	100.0
president_obama is a U.S. politician who is a member of the political group congress	1112	24-jul-2018	100.0
mma is a sport with fans in the country _uk	1116	12-sep-2018	100.0