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
legs_information is a scientific term	1111	06-jul-2018	93.3
gospel_creek is a river	1111	06-jul-2018	100.0
comment_events is software used by machine-learning scientists	1111	06-jul-2018	99.5
ispas_marin is a Mexican person	1111	06-jul-2018	98.5
n51_2_hours is a non-sports, non-electronic game	1111	06-jul-2018	98.3
kansas_state is an organization also known as state_university	1113	15-aug-2018	100.0
states is a subpart of southeast	1111	06-jul-2018	99.9
coca_cola is a company in the economic sector of consumer	1114	25-aug-2018	100.0
richard_m__nixon is a U.S. politician who is a member of the political group house	1113	15-aug-2018	93.8
warsaw_pact happened on the date august_1968	1116	12-sep-2018	100.0