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
mississippi_college_clinton is a train station	1111	06-jul-2018	99.7
n2000_national_league_division_series is a sports game	1111	06-jul-2018	99.9
solidarity_unionism is a trade union	1111	06-jul-2018	93.0
tour_de_lavenir is a sporting event	1111	06-jul-2018	100.0
chilean_national_zoo is an aquarium	1111	06-jul-2018	100.0
charlesbank_park is a park in the city boston	1116	12-sep-2018	100.0
beds is often found in big_rooms	1111	06-jul-2018	100.0
praying_mantis is an arthropod that feeds on insects	1116	12-sep-2018	100.0
grammy_museum is a museum in the city los_angeles_ca	1116	12-sep-2018	100.0
vladimir_putin represents the region russia_federation	1113	15-aug-2018	100.0