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
low_fat_banana_muffins is a baked good	1111	06-jul-2018	100.0
caprino_a_coagulazione_presamica_cheese is a cheese	1111	06-jul-2018	96.7
responsive_computer is an item found on a table	1111	06-jul-2018	100.0
terence_hill_and_bud_spencer ia a celebrity	1111	06-jul-2018	90.6
law_suite is a kind of room	1111	06-jul-2018	90.8
bbc001 is a company headquartered in the city new_york	1116	12-sep-2018	100.0
john_mccain is a person who has age 72	1116	12-sep-2018	100.0
the country china uses the currency yuan	1116	12-sep-2018	100.0
david_garrard plays in the league nfl	1116	12-sep-2018	100.0
russian is the language of the country south_africa	1116	12-sep-2018	96.9