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
em_poker_texaspoker is a cardgame	1111	06-jul-2018	100.0
soiledness is an emotion	1111	06-jul-2018	97.9
rights_protest is a socio-political term	1111	06-jul-2018	97.0
full_time_engineer is a profession	1111	06-jul-2018	100.0
prairie_wetlands can be a part of a landscape	1111	06-jul-2018	98.5
tim_burton starred in the movie batman	1115	03-sep-2018	99.8
steve_spurrier is a person who belongs to the organization usc	1111	06-jul-2018	93.8
top is found in volcano	1112	24-jul-2018	100.0
bridget has spouse brian	1116	12-sep-2018	93.8
dwyane_wade coaches the team air_source_heat	1116	12-sep-2018	92.8