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
ugg is a kind of clothing	1111	06-jul-2018	90.1
peugeot_207_sw is a model of automobile	1111	06-jul-2018	100.0
miami_sun is a location	1111	06-jul-2018	95.9
sendai_city_museum is a museum	1111	06-jul-2018	96.3
glazed_walls is something found in or on buildings	1111	06-jul-2018	98.7
national is a bank that bought td_ameritrade	1114	25-aug-2018	100.0
justine_henin_hardenne is an athlete who beat kuznetsova	1115	03-sep-2018	100.0
three is the number of people killed in the event three_killed_in_lebanese_suicide_bombing	1116	12-sep-2018	100.0
michael_ryder is an athlete that flied out to position center	1111	06-jul-2018	100.0
the sports team new_york_mets was the winner of n1969_world_series	1116	12-sep-2018	100.0