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
hustle_award is a film festival	1111	06-jul-2018	100.0
econo_lodge_bishopville is a hotel	1111	06-jul-2018	97.8
egg_predators is an animal	1111	06-jul-2018	92.4
john_o_leary is a North American person	1111	06-jul-2018	100.0
star_newspapers is a company	1111	06-jul-2018	99.8
recluse_spiders is an arthropod as well as spiders also is	1111	06-jul-2018	100.0
contact_the_u_s__department is a synonym for administration	1111	06-jul-2018	98.4
steve001 works for products	1112	24-jul-2018	96.9
liver is a subpart of the body within function	1111	06-jul-2018	96.9
ksl is headquartered in the city salt_lake	1116	12-sep-2018	100.0