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
medical_research_council_and_wellcome_trust is a part of the government	1111	06-jul-2018	100.0
michelle_krusiec is a female	1111	06-jul-2018	100.0
river_state_park is a trail	1111	06-jul-2018	100.0
donald_mackenzie is a chef	1111	06-jul-2018	99.9
new_horizon_community_credit_union is a credit union	1111	06-jul-2018	100.0
service is an organization also known as united_states_department	1112	24-jul-2018	100.0
triangle has shape two_sides	1112	24-jul-2018	100.0
chad_hurley works for youtube	1111	06-jul-2018	100.0
standard_chartered is a bank in scotland	1114	25-aug-2018	93.8
barry_goldwater is a person born on the date n1909	1116	12-sep-2018	100.0