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
real_estate_students is a victim	1111	06-jul-2018	100.0
kalibo_airport is a transportation system	1111	06-jul-2018	100.0
tastefully_furnished_guest_rooms is an office building room	1111	06-jul-2018	95.0
jones_point_park is a monument	1111	06-jul-2018	100.0
rumicon is a convention	1111	06-jul-2018	100.0
crustaceans is a type of lobster	1113	15-aug-2018	100.0
honda is a specific automobile maker dealer in _uk	1116	12-sep-2018	100.0
kanye_west is a musician in the genre rap	1113	15-aug-2018	96.9
mites is a type of secondary_pests	1113	15-aug-2018	100.0
cunnamulla is a city that lies on the river warrego	1112	24-jul-2018	93.8