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
performance_engines is a kind of automobile engine	1111	06-jul-2018	100.0
postcapillary_venule is a vein	1111	06-jul-2018	95.9
attilio_ariosti is a musician	1111	06-jul-2018	92.9
social_report is a physical characteristic	1111	06-jul-2018	100.0
tresaca_hamilton is a writer	1111	06-jul-2018	91.2
iraq is a country located in the geopolitical location foreign_countries	1112	24-jul-2018	99.2
doubleclick is a company in the economic sector of marketing	1114	25-aug-2018	96.5
father is the parent of jesus_christ	1115	03-sep-2018	100.0
outer_airports is a generalization of london_city	1115	03-sep-2018	100.0
ray_rice coaches in the league nfl	1116	12-sep-2018	99.2