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
gas_vehicles is a weapon	1111	06-jul-2018	97.0
esc__san_isidro_nro__640 is a South American person	1111	06-jul-2018	91.4
other_beers is a beverage	1111	06-jul-2018	92.4
tupelo_regional_airport is a transportation port	1112	24-jul-2018	100.0
inguial_lymph_nodes is a lymph node	1111	06-jul-2018	98.9
national is a company that has an office in the country uganda	1114	25-aug-2018	100.0
kimn is a radio station in the city denver	1116	12-sep-2018	100.0
eve is the mother of garden_of_eden	1114	25-aug-2018	100.0
stephen_green is a person who belongs to the organization hsbc	1111	06-jul-2018	100.0
israel is the attacker in the event israel_bombs_syria_army_targets_after_golan_attack	1114	25-aug-2018	100.0