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
egg_roll is a visualizable thing	1111	06-jul-2018	98.3
manuel_linares is a South American person	1111	06-jul-2018	98.3
justice_middleton is a judge	1111	06-jul-2018	97.3
paris_brest_paris is a sports race	1111	06-jul-2018	100.0
ceiling_arched_windows is something found in or on buildings	1111	06-jul-2018	99.4
bush_administration represents the region states	1115	03-sep-2018	100.0
andrew_ross_sorkin is a journalist that writes for the publication new_york_times	1113	15-aug-2018	100.0
international_center_for_photography is a museum in the city new_york	1116	12-sep-2018	96.9
ford is a company that produces mustang	1114	25-aug-2018	100.0
b_muthuraman works for tata	1112	24-jul-2018	100.0