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
los_huevos is a currency	1111	06-jul-2018	100.0
hepatic_branches_of_vagus_nerve is a nerve	1111	06-jul-2018	99.2
world_series_poker is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
soekarno_hatta_international_airport is a café	1114	25-aug-2018	93.8
rashad_jeanty is an athlete	1111	06-jul-2018	98.7
garrett_atkins is an athlete that flied out to position center	1111	06-jul-2018	100.0
invertebrates is a type of crustaceans	1113	15-aug-2018	99.2
russian is the language of the country south_africa	1116	12-sep-2018	96.9
national_maritime_museum is a museum in the city central_london	1116	12-sep-2018	98.4
rodham_clinton is a U.S. politician endorsed by the U.S. politician barack_obama	1113	15-aug-2018	100.0