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
weather_quality is a character trait	1111	06-jul-2018	99.7
two_separate_acts ia a crime or charge	1111	06-jul-2018	100.0
ealing_broadway_station is a skyscraper	1111	06-jul-2018	100.0
free_conference is a convention	1111	06-jul-2018	100.0
investment_tracking is an economic sector	1111	06-jul-2018	99.9
tiki_barber plays in the league nfl	1116	12-sep-2018	100.0
families is an animal that eats milk	1115	03-sep-2018	96.9
sony is a company in the economic sector of large_electronics	1111	06-jul-2018	93.8
triangles has shape area	1112	24-jul-2018	99.2
keith_richards is a musician who plays the guitar	1114	25-aug-2018	100.0