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
floor_clocks is a household item	1111	06-jul-2018	100.0
casino_banking is an economic sector	1111	06-jul-2018	99.8
new_york_real_estate_journal is a blog	1111	06-jul-2018	100.0
andrea_oswald is a fashion model	1111	06-jul-2018	100.0
agco is a biotech company	1111	06-jul-2018	95.7
richard_goldstone belongs to the religion jewish	1116	12-sep-2018	100.0
st__louis_cardinals_catchers_yadier_molina held the position of king	1115	03-sep-2018	100.0
tocumen_international_airport is an airport in the city panama	1116	12-sep-2018	98.4
oregon_coast_aquarium is an aquarium in the city newport	1116	12-sep-2018	100.0
triangle has shape geometry	1112	24-jul-2018	99.6