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
unexpected_data_loss is an event outcome	1111	06-jul-2018	99.9
n2_hours_tops is a non-sports, non-electronic game	1111	06-jul-2018	96.2
final_fantasy_mystic_quest is a video game	1111	06-jul-2018	100.0
arteria_parietales_posterior is an artery	1111	06-jul-2018	99.5
candy_fruit_slices is a kind of candy	1111	06-jul-2018	98.2
paralympic_games is a sports game that took place on the date n2010	1116	12-sep-2018	100.0
father is the parent of mary	1115	03-sep-2018	96.9
richard_riordan is a person who has residence in the geopolitical location los_angeles_ca	1114	25-aug-2018	100.0
rocky_anderson works for salt_lake	1112	24-jul-2018	100.0
ford is a company that produces expedition	1114	25-aug-2018	100.0