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
esc_nro__462_manuel_cabello_escobillar is a South American person	1111	06-jul-2018	90.6
n02_28_2011 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
joanna_baillie is a female	1111	06-jul-2018	100.0
andrew_duncan is a European person	1111	06-jul-2018	100.0
errol_flynn is a fashion model	1111	06-jul-2018	100.0
garcia is a politician who holds the office of president	1111	06-jul-2018	93.8
christiana_care is a hospital in the city wilmington	1116	12-sep-2018	100.0
insects is called spiders	1111	06-jul-2018	93.8
greg_olsen is an athlete who led n1985_chicago_bears	1116	12-sep-2018	98.4
holey_grail___the_mechanism_of_transport_through_the_nuclear_pore_of_cells is part of biological_sciences_seminar	1116	12-sep-2018	100.0