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
tiger_woods_pga_tour_2005 is a video game	1111	06-jul-2018	100.0
north_florida is a state or a province	1111	06-jul-2018	96.9
three_national_elections is an election	1111	06-jul-2018	95.7
paradise_pond is a lake	1111	06-jul-2018	100.0
aiseesoft_flv_converter_suite_for_mac is a consumer electronic device	1111	06-jul-2018	100.0
williams and kevin_love are teammates	1111	06-jul-2018	93.8
bayswater is a park in the city central_london	1116	12-sep-2018	99.8
cloak is a clothing item to go with mask	1111	06-jul-2018	93.8
u_s__sen_ is a person who has residence in the geopolitical location georgia	1116	12-sep-2018	98.4
science_museum is a museum in the city central_london	1116	12-sep-2018	100.0