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
chianti_colli_fiorentini is a wine	1111	06-jul-2018	98.9
andy_linden is a director	1111	06-jul-2018	90.5
contact_king_county is a book	1111	06-jul-2018	91.2
chicken_recipe_engineering is an area of study within the field of machine learning	1111	06-jul-2018	99.9
monkey_viruses is a virus	1111	06-jul-2018	97.5
the sports team yankees was the winner of n1977_world_series	1116	12-sep-2018	100.0
kcop_tv is headquartered in the city los_angeles_ca	1116	12-sep-2018	100.0
lew_burdette is an athlete that flied out to position center	1111	06-jul-2018	100.0
pests is a type of spiders	1111	06-jul-2018	100.0
edward_johnson is a politician who holds the office of senator	1114	25-aug-2018	93.8