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
aluminium_casing is a building material	1111	06-jul-2018	92.7
professional_hair_care is a personal care product	1111	06-jul-2018	96.2
comfort_suites_manassas is a tourist attraction	1111	06-jul-2018	94.3
n12326 is a ZIP code	1112	24-jul-2018	99.8
valeri_gorbachev is a European person	1111	06-jul-2018	93.0
accupril is a drug worked on by pfizer	1114	25-aug-2018	93.8
kvue_tv is headquartered in the city austin	1116	12-sep-2018	100.0
mites is a type of secondary_pests	1113	15-aug-2018	100.0
the home stadium of moises_alou is wrigley_field	1116	12-sep-2018	100.0
european_nations is a generalization of austria	1115	03-sep-2018	99.6