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
cordoba_city is a geopolitical entity that is a location	1111	06-jul-2018	92.3
josh_howard is a Mexican person	1111	06-jul-2018	100.0
additional_clinical_studies is a research project	1111	06-jul-2018	98.7
rights_offenders is a political issue	1111	06-jul-2018	99.9
u_s__congress is a part of the government	1111	06-jul-2018	100.0
pau_gasol001 is an athlete that flied out to position center	1111	06-jul-2018	100.0
abn_amro is a bank in netherlands	1114	25-aug-2018	100.0
king_george has citizenship in the country greece	1112	24-jul-2018	93.8
jonathan_schwartz is a top member of sun_microsystems	1116	12-sep-2018	100.0
kelly is a person who belongs to the organization state_university	1111	06-jul-2018	100.0